Object attribute adjustment method and device, electronic equipment and storage medium

Abstract

The application provides an object attribute adjustment method and device, electronic equipment and a storage medium; the method comprises the following steps: in response to an option generation instruction for a target node, obtaining attribute values corresponding to a plurality of target attributes of a target object; the target node is a plot node affecting the attribute values corresponding to at least one target attribute; according to the deviation degree between the attribute values corresponding to the plurality of target attributes and the corresponding preset attribute value standard, determining at least two target options of the target node and at least one attribute adjustment value corresponding to each target option, and the attribute adjustment value is used for indicating the adjustment value of the corresponding target attribute. According to the deviation degree between the attribute values of each target attribute of the target object and the standard, at least two target options provided to the player and the attribute adjustment value of each target option are determined, so that the attributes of the target object can be dynamically adjusted according to the deviation degree, and the imbalance of the object attributes is avoided.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and in particular to a method, apparatus, electronic device, and storage medium for adjusting object attributes. Background Technology

[0002] In story-driven virtual games, there are usually plot points that guide players in different directions, offering choices for players to make based on their personal preferences. This allows the game character or game to develop in the direction the player expects, enhancing their immersive experience. For example, in character development games, players can choose to cultivate their game character into an object with different abilities and attributes, such as strength, agility, intelligence, stamina, and charm, depending on the specific game's mechanics.

[0003] During the player's selection process, different options will cause changes in the player's different attributes in the game, creating a gap in strength between the player's game attributes, thereby affecting the development direction of the game character or the game's course.

[0004] Current technology, when adjusting object attributes through options, typically pre-sets fixed scores for different options based on their characteristics, or uses a fixed numerical growth formula to slow down or accelerate the adjustment of an attribute value that is below or above a threshold. This method can only slow down the rate at which a player's ability attributes become unbalanced; for players who insist on developing in a certain direction, it is still difficult to avoid an imbalance in game attributes. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide a method, apparatus, electronic device and storage medium for adjusting object attributes to avoid imbalance of game attributes.

[0006] In a first aspect, embodiments of the present invention provide a method for adjusting object attributes, the method comprising: in response to an option generation instruction for a target node, obtaining attribute values ​​corresponding to multiple target attributes of a target object; the target node being a plot node affecting the attribute value corresponding to at least one target attribute; determining at least two target options for the target node and at least one attribute adjustment value corresponding to each target option based on the degree of deviation between the attribute values ​​corresponding to the multiple target attributes and the corresponding preset attribute value standard, wherein the attribute adjustment value is used to indicate the adjustment value of the corresponding target attribute.

[0007] Secondly, embodiments of the present invention provide an object attribute adjustment device, the device comprising: an acquisition module, configured to acquire attribute values ​​corresponding to multiple target attributes of a target object in response to an option generation instruction for a target node; the target node being a plot node affecting the attribute value corresponding to at least one target attribute; and a determination module, configured to determine at least two target options for the target node and at least one attribute adjustment value corresponding to each target option based on the degree of deviation between the attribute values ​​corresponding to the multiple target attributes and the corresponding preset attribute value standards, the attribute adjustment value indicating the adjustment value of the corresponding target attribute.

[0008] Thirdly, embodiments of the present invention provide an electronic device, including a processor and a memory, wherein the memory stores machine-executable instructions that can be executed by the processor, and the processor executes the machine-executable instructions to implement the above-mentioned method for adjusting object attributes.

[0009] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing computer-executable instructions. When the computer-executable instructions are invoked and executed by a processor, the computer-executable instructions cause the processor to implement the aforementioned method for adjusting object attributes.

[0010] The embodiments of the present invention bring the following beneficial effects:

[0011] The aforementioned method, apparatus, electronic device, and storage medium for adjusting object attributes, in response to an option generation instruction for a target node, acquire attribute values ​​corresponding to multiple target attributes of the target object; the target node is a story node that affects the attribute value corresponding to at least one target attribute; based on the degree of deviation between the attribute values ​​corresponding to the multiple target attributes and the corresponding preset attribute value standard, at least two target options for the target node are determined, as well as at least one attribute adjustment value corresponding to each target option, the attribute adjustment value being used to indicate the adjustment value of the corresponding target attribute. In this method, at a story node that can affect the target attributes of the target object, at least two target options are provided to the player based on the degree of deviation between the attribute values ​​of each target attribute of the target object and the standard, and the attribute adjustment value of each target option is determined, so that the attributes of the target object can be dynamically adjusted according to the degree of deviation, avoiding object attribute imbalance.

[0012] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0013] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0014] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0015] Figure 1 This is a flowchart of one embodiment of the object attribute adjustment method in this invention.

[0016] Figure 2 This is a flowchart of another embodiment of the object attribute adjustment method in this invention;

[0017] Figure 3 A schematic diagram of an object attribute adjustment device provided in an embodiment of the present invention;

[0018] Figure 4 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” or “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0021] For ease of understanding, the specific process of the embodiments of the present invention is described below. Please refer to [link / reference]. Figure 1 One embodiment of the object attribute adjustment method in this invention includes:

[0022] Step S10: In response to the option generation instruction for the target node, obtain the attribute values ​​corresponding to the multiple target attributes of the target object; the target node is a plot node that affects the attribute value corresponding to at least one target attribute.

[0023] Understandably, in story-driven virtual games, plot nodes can lead the plot down different branches and develop in different directions. For example, a plot node might require the player to choose the gender of a character (a target object), offering options of male and female. Choosing the male gender corresponds to a different subsequent plot development; choosing male leads to a more masculine plot development, while choosing female leads to a more feminine plot development. This example of a plot node is one type of target node in this implementation, and its specific nature is not limited here.

[0024] It's important to note that a target node is a story node that can affect the attribute value of at least one target attribute. Story nodes that cannot affect the attribute value of at least one target attribute are not considered target nodes. For example, a story node that merely guides the player's target object to different game areas without changing any of the target object's target attribute values ​​is not a target node. By selecting at least two target options from a target node, the player can change the attribute values ​​of one or more of the target object's target attributes. The specific target attribute that changes depends on the selection options and is not limited here.

[0025] In this embodiment, the option generation command for the target node can be triggered by player operation. For example, the option generation command is triggered when the target object operated by the player reaches a certain location in the game, or when the player operates a certain game control, such as when the player clicks on a non-player character (NPC), and so on. The option generation command for the target node can also be automatically triggered by the game program. For example, the option generation command is automatically triggered when the plot develops to a certain time point (such as when the target object's age reaches 18), or when the target object's attributes meet certain conditions (such as reaching level 10). The time point in the above examples can also be a type of target node; specific details are not limited here. After the option generation command is triggered, in response to the option generation command for the target node, the attribute values ​​corresponding to the multiple target attributes of the target object are obtained.

[0026] It should be noted that the target object is a type of data object in virtual games. In this embodiment, the target object refers to a data object controlled by the player's actions. Different virtual games have different target objects. For example, in role-playing games, the target object can be a virtual character controlled by the player, while in management simulation games, the target object can be a virtual city or a virtual country controlled and built by the player. The specific target object is not limited here.

[0027] Understandably, a target object possesses multiple target attributes, each corresponding to a value. Enhancing these target attributes typically represents acquiring game resources. Players, through their actions, enable the target object to obtain these resources during gameplay, generating a sense of accomplishment and improving the gaming experience. For example, in character development games, a target object's multiple target attributes might include strength, agility, intelligence, stamina, and charm. Players acquire these game resources through gameplay, enhancing these target attributes and guiding their virtual character towards the desired development. For instance, if intelligence is the highest among the attributes, the target object is considered intelligent, providing a better sense of immersion for the player. In management simulation games, a target object's multiple target attributes might include gold, wood, stone, and food. Players help the target object acquire these resources, making the virtual city or country stronger and satisfying their sense of immersion in management and development. The target attributes for different virtual games can be set according to the game rules, and specific details are not limited here.

[0028] Step S20: Based on the degree of deviation between the attribute values ​​corresponding to multiple target attributes and the corresponding preset attribute value standards, determine at least two target options for the target node, and at least one attribute adjustment value corresponding to each target option. The attribute adjustment value is used to indicate the adjustment value of the corresponding target attribute.

[0029] In this embodiment, each target attribute corresponds to a preset attribute value standard. The preset attribute value standard is used to measure whether the attribute value corresponding to the current target attribute of the target object meets the standard. The attribute value corresponding to the current target attribute of the target object can be the attribute value corresponding to the target attribute when the target object is in the target node, or it can be the attribute value corresponding to the target attribute of the target object when responding to the option generation instruction for the target node, or it can be the attribute value corresponding to the target attribute at the current moment. The specifics are not limited here.

[0030] In one implementation, the preset attribute value standard corresponding to each target attribute is a target standard among preset standards. The preset standards may include standards that run through all target nodes, with the preset attribute value standard being the standard of one of the target nodes; the preset standards may also include standards corresponding to nodes with stage representation among all target nodes, with the preset attribute value standard being the standard corresponding to one of the stage-representative nodes; the preset standards may also be unrelated to target nodes, but include standards corresponding to one or more plot nodes (e.g., nodes with stage representation among all plot nodes), with the preset attribute value standard being the standard corresponding to one of the plot nodes; the preset standards may also include standards unrelated to both target nodes and plot nodes (e.g., different level attributes of the target object can correspond to different standards); the preset standards may also include standards corresponding to any other arbitrary standard division method / range, which is not limited here.

[0031] Based on the aforementioned preset standards, in one embodiment, the preset attribute value standard corresponding to each target attribute is used to indicate the target attribute value standard in the preset standards. The preset standards may include attribute value standards corresponding to the target attributes of all target nodes, attribute value standards corresponding to the target attributes of at least one target node, attribute value standards corresponding to the target attributes of at least one target plot node, attribute value standards corresponding to the target attributes divided according to preset conditions, or attribute value standards corresponding to the target attributes divided by any other standard / range. Specific details are not limited here. It is understood that different contents of the preset standards will result in different attribute value standards used for calculating the degree of deviation in this step, that is, different methods for determining the target attribute value standards. In one embodiment, this step includes: determining the target attribute value standard corresponding to each target attribute from the preset standards based on the target node / target object, thus obtaining the preset attribute value standard corresponding to each target attribute; comparing the attribute value corresponding to each target attribute with the preset attribute value standard corresponding to the target attribute to obtain the degree of deviation corresponding to each target attribute; and determining at least two target options for the target node and at least one attribute adjustment value corresponding to each target option based on the degree of deviation corresponding to each target attribute. This implementation method can flexibly divide the scope of measurement according to the standard, and the scope of intervention that can be adjusted for object attributes can be large or small, which is highly flexible and applicable to more different virtual games.

[0032] It's important to note that different target options at a target node will change the attribute values ​​corresponding to different target attributes. By adjusting at least one attribute value corresponding to each target option, the attribute value of at least one target attribute is changed, thus altering the target attribute of the target object. For example, in a character development game, the target object is a virtual character that the player is developing. Multiple target attributes of the target object can include: Strength, Agility, Intelligence, Stamina, and Charisma. Assuming the plot of the target node is "Acting Righteously," then at least two target options for this node could include: 1. Go and help him; 2. Find a way to outsmart him; 3. It's too dangerous, let's go! The attribute adjustment values ​​corresponding to each target option can be different. For example, the first option could be "Strength +5," the second option could be "Strength +2; Intelligence +2," and the third option could be "Strength -2; Intelligence -2; Charisma -2." These numerical values ​​are the attribute adjustment values. Attribute adjustment values ​​can be positive or negative adjustments, and they can be numerical or non-numerical, such as the adjustment values ​​for level attributes A, B, and C. Specific limitations are not specified here.

[0033] In one implementation, the target options for a target node can be dynamically generated based on the degree of deviation, or obtained from preset options, or obtained from preset options and dynamically generated based on the degree of deviation. Specifically, the at least two target options for a target node include at least one preset option and / or at least one correction option, wherein the correction option is used to reduce the degree of deviation. Similarly, at least one attribute adjustment value corresponding to each target option can be dynamically determined based on the degree of deviation, or a preset adjustment value corresponding to a preset option can be obtained, or the value can be dynamically determined based on the preset adjustment value corresponding to a preset option and the degree of deviation; the specific determination is not limited here. For example, in the previous example, if the target object's Strength attribute is higher than the preset attribute value standard, and the deviation is large, then the attribute adjustment values ​​corresponding to each target option of the target node can be adjusted as follows: the first option "Strength +2", the second "Strength +1; Intelligence +2", and the third option "Strength -5; Intelligence -2; Charisma -2", to reduce the deviation of the Strength attribute from the preset attribute value standard, thereby avoiding an imbalance in the object's attributes. As another example, if all three target options in this example are preset options, and the target object's Intelligence attribute is also higher than the preset attribute value standard, then the second option can be deleted and not used as a target option for the target node, thereby reducing the chance of adding points to the Intelligence attribute and reducing the deviation between the Intelligence attribute and the standard. As another example, if the target object's Endurance attribute is lower than the preset attribute value standard, then a correction option "Help him lift the heavy object until he escapes" can be generated, and the attribute adjustment value corresponding to this correction option is "Endurance +5", thereby increasing the chance of adding points to the Endurance attribute and reducing the deviation between the Endurance attribute and the standard. This implementation method can correct the imbalance of object attributes, thereby avoiding the imbalance of object attributes.

[0034] The object attribute adjustment method provided in the above implementation method determines at least two target options for the player and the attribute adjustment value of each target option based on the degree of deviation between the attribute value of each target attribute of the target object and the standard at the plot node that can affect the target attribute of the target object. This allows the attribute of the target object to be dynamically adjusted according to the degree of deviation, thus avoiding the imbalance of the object attribute.

[0035] Please see Figure 2 Another embodiment of the object attribute adjustment method in this invention includes:

[0036] Step S201: In response to the option generation instruction for the target node, obtain the attribute values ​​corresponding to the multiple target attributes of the target object; the target node is a plot node that affects the attribute value corresponding to at least one target attribute.

[0037] The execution process of step S201 is similar to that of step S10, and will not be described in detail here.

[0038] Step S202: Based on the degree of deviation between the attribute values ​​corresponding to multiple target attributes and the corresponding preset attribute value standards, determine at least two target options for the target node, and at least one attribute adjustment value corresponding to each target option. The attribute adjustment value is used to indicate the adjustment value of the corresponding target attribute.

[0039] In one implementation, step S202 includes: S2021, obtaining the preset attribute value standard corresponding to each target attribute of the target object at the previous preset check node, wherein the preset check node is a preset plot node; S2022, comparing the attribute value corresponding to each target attribute with the preset attribute value standard corresponding to the target attribute, and determining the degree of deviation between the attribute value corresponding to the multiple target attributes and the corresponding preset attribute value standard; S2023, determining at least two target options of the target node and at least one attribute adjustment value corresponding to each target option based on the degree of deviation and at least two preset options of the target node, wherein the at least two target options of the target node include at least two preset options, and the preset options include option text.

[0040] In this embodiment, the preset attribute value standard corresponding to each target attribute is the standard of the target object at the previous preset check node, where the preset check node is a preset story node. For example, in a character development game, the virtual character that the player develops is the target object. Then, the story nodes where the virtual character grows into a teenager, young adult, and adult can be set as preset check nodes respectively. Assuming that the virtual character is currently in the teenager stage, then the previous preset check node is the story node when it grows into a teenager. The preset attribute value standard corresponding to each target attribute of this story node can be used to measure the degree of deviation of each target attribute of the virtual character. For example, if intelligence is one of the target attributes, the preset attribute value standard corresponding to the intelligence attribute at the previous preset check node is "greater than 40", while the current intelligence attribute value of the virtual character is 30, with a deviation of -10. Then, in all target nodes during the teenager stage, the target option of increasing the attribute value corresponding to the intelligence attribute will increase, and the corresponding attribute adjustment value will also be increased as needed to reduce the deviation between the intelligence attribute and the standard and avoid the imbalance of the object attributes.

[0041] In this embodiment, when determining at least two target options for a target node, based on the deviation degree corresponding to each target attribute and the at least two preset options for the target node, it is determined whether to generate correction options other than the preset options, to determine at least one attribute adjustment value corresponding to each correction option, and to determine whether to adjust at least one preset attribute adjustment value corresponding to each preset option, thereby determining all target options and at least one attribute adjustment value corresponding to each target option. It should be noted that a target node includes at least two preset options, and each preset option corresponds to at least one preset attribute adjustment value. These preset options and preset attribute adjustment values ​​are typically set by game designers to ensure that options are always available to the player, avoiding impact on game logic.

[0042] In one implementation, step S2022 includes: calculating the difference between the attribute value corresponding to each target attribute and the corresponding preset attribute value standard to obtain the standard deviation value corresponding to each target attribute. The standard deviation value corresponding to each target attribute is used to indicate the degree of deviation between the attribute value corresponding to the target attribute and the corresponding preset attribute value standard. In this implementation, during the comparison, the standard deviation value corresponding to each target attribute is specifically determined by difference calculation, thereby determining the degree of deviation corresponding to each target attribute. For example, assuming that the attribute value corresponding to a target attribute is 30, and the preset attribute value standard corresponding to this target attribute is "greater than 40", then, by calculating the difference, 30-40=-10, and -10 is the standard deviation value corresponding to this target attribute. The specific method is not limited here.

[0043] In one implementation, step S2023 includes: determining whether the deviation between the attribute value corresponding to each target attribute and the corresponding preset attribute value standard is greater than the corresponding preset deviation threshold; if the deviation between the attribute value corresponding to any target attribute and the corresponding preset attribute value standard is greater than the corresponding preset deviation threshold, then generating at least one correction option for the target node through a pre-trained real-time query language model to obtain at least two target options for the target node, wherein the correction option includes option text; and calculating at least one attribute adjustment value corresponding to each correction option and each preset option through a pre-trained real-time query language model based on the degree of deviation, wherein the at least one attribute adjustment value is used to reduce the degree of deviation.

[0044] In this embodiment, after determining the degree of deviation, it can be further determined whether the deviation is too large, requiring intervention by changing the attribute adjustment value. Specifically, in this embodiment, it is first determined whether the deviation between the attribute value corresponding to each target attribute and the corresponding preset attribute value standard is greater than the preset deviation threshold corresponding to the target attribute. If so, it indicates that intervention by changing the attribute adjustment value is required. For the target node, at least one correction option is generated by a pre-trained real-time query language model. The correction option includes option text, which can be intelligently generated by the language model. For example, the option text of the correction option in the example above: "In the past, I helped him lift heavy objects until he was freed," is the option text intelligently generated by the language model. In addition, the real-time language query model can also be used to calculate at least one attribute adjustment value corresponding to each correction option and each preset option based on the degree of deviation, thereby improving the intelligence of object attribute adjustment.

[0045] In one implementation, the real-time query language model is an Artificial Intelligence in Games and Computation (AIGC) model. Through learning and training, it can automatically adjust its strategies according to changes in the game's storyline, thereby improving efficiency. In another implementation, the real-time query language model is pre-trained using the game's storyline and labeled training samples; the specific method is not limited here.

[0046] In one implementation, the above-mentioned calculation of at least one attribute adjustment value corresponding to each correction option and each preset option based on the degree of deviation using a pre-trained real-time query language model includes: obtaining the total number of target nodes in the target inspection period, where the target inspection period indicates the period from the previous preset inspection node to the next preset inspection node; and calculating adjustment values ​​for the total number of target nodes and the degree of deviation using the pre-trained real-time query language model to obtain at least one attribute adjustment value corresponding to each correction option and each preset option. In this implementation, the at least one attribute adjustment value corresponding to each target option is also related to the total number of target nodes in the target inspection period. The real-time query language model calculates at least one attribute adjustment value corresponding to each correction option and at least one attribute adjustment value corresponding to each preset option based on the total number of target nodes and the degree of deviation, so that the attribute value of the target attribute that has deviated can be adjusted evenly according to the total number of nodes, resulting in a better gaming experience for the player.

[0047] In one implementation, after determining whether the deviation between the attribute value corresponding to each target attribute and the corresponding preset attribute value standard is greater than the corresponding preset deviation threshold, the method further includes: if the deviation between the attribute value corresponding to all target attributes and the corresponding preset attribute value standard is less than the corresponding preset deviation threshold, then at least two preset options of the target node are determined as at least two target options of the target node, a preset attribute adjustment value corresponding to each preset option is determined as at least one attribute adjustment value corresponding to each target option, and a preset feedback text corresponding to each preset option is determined as feedback text corresponding to each target option. It is understood that if the attribute values ​​corresponding to all target attributes are within a reasonable range, i.e., no deviation has occurred, then there is no need to intervene by changing the attribute adjustment value; simply determining at least two preset options of the target node as target options and providing them to the player is sufficient. The attribute adjustment value and feedback text also do not need to be changed; normal feedback is sufficient to ensure the player's gaming experience.

[0048] Step S203: Generate feedback text for each target option based on the attribute adjustment value corresponding to each target option. The feedback text is used to explain at least one attribute adjustment value corresponding to the target option.

[0049] It should be noted that, to enrich the player's experience within the game's storyline, some virtual games provide feedback text after the player selects an option. This feedback explains the reason for the attribute adjustment value of that option, giving the player a deeper story experience. For example, suppose the storyline of the target node is "acting bravely for a just cause," and one of the target options is "go help him in the past." Then, the feedback text for this target option could be "While helping others, you also get exercise! (Strength +5)." This feedback text explains why the strength attribute value increases by 5, making the game more logical. In this embodiment, the feedback text can also be the attribute adjustment value corresponding to the target option; for example, in the previous example, the feedback text could be "Strength +5."

[0050] In one implementation, based on the target attribute to be adjusted for each target option and the attribute adjustment value corresponding to the target attribute, the feedback text corresponding to each target option can be obtained from the preset feedback text, or the feedback text corresponding to each target option can be dynamically generated, which is not limited here.

[0051] In one implementation, step S203 includes: performing a real-time language query on all target options and at least one attribute adjustment value corresponding to each target option using a pre-trained real-time query language model to obtain feedback text corresponding to each target option. In this implementation, the language model (i.e., the pre-trained real-time query language model) can intelligently generate feedback text based on all target options and at least one attribute adjustment value corresponding to each target option, explaining the reasons for the attribute value adjustment, making the adjustment of object attributes more intelligent and reasonable.

[0052] The object attribute adjustment method provided in the above implementation method determines at least two target options, an attribute adjustment value for each target option, and feedback text for each target option based on the degree of deviation between the attribute values ​​of each target attribute of the target object and the standard at plot nodes that can affect the target object's target attributes. This allows the target object's attributes to be dynamically adjusted according to the degree of deviation, avoiding object attribute imbalance and improving the game experience.

[0053] For the corresponding method embodiments described above, see [link to relevant documentation]. Figure 3 The diagram shows a schematic of an object attribute adjustment device. The device includes: an acquisition module 30, configured to acquire attribute values ​​corresponding to multiple target attributes of a target object in response to an option generation instruction for a target node; the target node is a plot node that affects the attribute value corresponding to at least one target attribute; and a determination module 32, configured to determine at least two target options for the target node and at least one attribute adjustment value corresponding to each target option based on the degree of deviation between the attribute values ​​corresponding to the multiple target attributes and the corresponding preset attribute value standards, the attribute adjustment value being used to indicate the adjustment value of the corresponding target attribute.

[0054] The aforementioned object attribute adjustment device, at story nodes that can affect the target object's target attributes, determines at least two target options for the player based on the degree of deviation between the attribute values ​​of each target attribute of the target object and the standard, as well as the attribute adjustment value for each target option, so that the target object's attributes can be dynamically adjusted according to the degree of deviation, avoiding object attribute imbalance.

[0055] Optionally, the above apparatus further includes: a feedback module, used to generate feedback text corresponding to each target option based on the attribute adjustment value corresponding to each target option, wherein the feedback text is used to explain at least one attribute adjustment value corresponding to the target option.

[0056] Optionally, the above feedback module is specifically used to: perform real-time language queries on all target options and at least one attribute adjustment value corresponding to each target option using a pre-trained real-time query language model, and obtain the feedback text corresponding to each target option.

[0057] Optionally, the determining module 32 includes: an acquisition submodule, used to acquire the preset attribute value standard corresponding to each target attribute of the target object at the previous preset check node, wherein the preset check node is a preset plot node; a comparison submodule, used to compare the attribute value corresponding to each target attribute with the preset attribute value standard corresponding to the target attribute, and determine the degree of deviation between the attribute value corresponding to the plurality of target attributes and the corresponding preset attribute value standard; and a determining submodule, used to determine at least two target options of the target node and at least one attribute adjustment value corresponding to each target option based on the degree of deviation and at least two preset options of the target node, wherein the at least two target options of the target node include at least the at least two preset options, and the preset options include option text.

[0058] Optionally, the comparison submodule described above is specifically used to: calculate the difference between the attribute value corresponding to each target attribute and the corresponding preset attribute value standard, to obtain the standard deviation value corresponding to each target attribute, and the standard deviation value corresponding to each target attribute is used to indicate the degree of deviation between the attribute value corresponding to the target attribute and the corresponding preset attribute value standard.

[0059] Optionally, the aforementioned determining submodule includes: a judging unit, used to judge whether the deviation between the attribute value corresponding to each target attribute and the corresponding preset attribute value standard is greater than the corresponding preset deviation threshold; a correction unit, used to generate at least one correction option for the target node through a pre-trained real-time query language model if the deviation between the attribute value corresponding to any target attribute and the corresponding preset attribute value standard is greater than the corresponding preset deviation threshold, thereby obtaining at least two target options for the target node, wherein the correction option includes option text; and a calculation unit, used to calculate at least one attribute adjustment value corresponding to each correction option and each preset option based on the deviation degree through a pre-trained real-time query language model, wherein the at least one attribute adjustment value is used to reduce the deviation degree.

[0060] Optionally, the above calculation unit is specifically used to: obtain the total number of target nodes in the target inspection period, wherein the target inspection period is used to indicate the period from the previous preset inspection node to the next preset inspection node; and calculate the adjustment value of the total number of target nodes and the degree of deviation using a pre-trained real-time query language model to obtain at least one attribute adjustment value corresponding to each correction option and each preset option.

[0061] Optionally, the above device further includes: an adjustment-free module, configured to, if the deviation between the attribute values ​​corresponding to all target attributes and the corresponding preset attribute value standards is less than the corresponding preset deviation threshold, determine at least two preset options of the target node as at least two target options of the target node, determine the preset attribute adjustment value corresponding to each preset option as at least one attribute adjustment value corresponding to each target option, and determine the preset feedback text corresponding to each preset option as the feedback text corresponding to each target option.

[0062] This embodiment also provides an electronic device, including a processor and a memory. The memory stores machine-executable instructions that can be executed by the processor. The processor executes the machine-executable instructions to implement the aforementioned method for adjusting object attributes. This electronic device can be a server or a terminal device.

[0063] See Figure 4 As shown, the electronic device includes a processor 400 and a memory 401. The memory 401 stores machine-executable instructions that can be executed by the processor 400. The processor 400 executes the machine-executable instructions to implement the above-mentioned method for adjusting object attributes.

[0064] Furthermore, Figure 4 The electronic device shown also includes a bus 402 and a communication interface 403. The processor 400, the communication interface 403 and the memory 401 are connected via the bus 402.

[0065] The memory 401 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 403 (which can be wired or wireless), such as the Internet, wide area network, local area network, or metropolitan area network. The bus 402 may be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0066] The processor 400 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of the processor 400 or by instructions in software form. The processor 400 may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a readily available storage medium in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 401. The processor 400 reads information from memory 401 and, in conjunction with its hardware, completes the steps of the method described in the foregoing embodiments, for example:

[0067] In response to the option generation instruction for the target node, the attribute values ​​corresponding to multiple target attributes of the target object are obtained respectively; the target node is a plot node that affects the attribute value corresponding to at least one target attribute; based on the degree of deviation between the attribute values ​​corresponding to multiple target attributes and the corresponding preset attribute value standard, at least two target options for the target node are determined, as well as at least one attribute adjustment value corresponding to each target option, and the attribute adjustment value is used to indicate the adjustment value of the corresponding target attribute.

[0068] In this method, at story nodes that can affect the target attributes of the target object, at least two target options are provided to the player based on the degree of deviation between the attribute values ​​of each target attribute of the target object and the standard, as well as the attribute adjustment value of each target option, so that the attributes of the target object can be dynamically adjusted according to the degree of deviation, thus avoiding the imbalance of object attributes.

[0069] Optionally, after determining at least two target options for the target node and at least one attribute adjustment value corresponding to each target option, the method further includes: generating feedback text corresponding to each target option based on the attribute adjustment value corresponding to each target option, wherein the feedback text is used to explain the at least one attribute adjustment value corresponding to the target option.

[0070] Optionally, based on the attribute adjustment value corresponding to each target option, feedback text corresponding to each target option is generated, including: using a pre-trained real-time query language model to perform real-time language queries on all target options and at least one attribute adjustment value corresponding to each target option to obtain feedback text corresponding to each target option.

[0071] Optionally, based on the degree of deviation between the attribute values ​​corresponding to multiple target attributes and the corresponding preset attribute value standards, at least two target options for the target node are determined, as well as at least one attribute adjustment value corresponding to each target option. This includes: obtaining the preset attribute value standards corresponding to each target attribute of the target object at the previous preset check node, where the preset check node is a preset plot node; comparing the attribute value corresponding to each target attribute with the preset attribute value standards corresponding to the target attribute to determine the degree of deviation between the attribute values ​​corresponding to multiple target attributes and the corresponding preset attribute value standards; and determining at least two target options for the target node and at least one attribute adjustment value corresponding to each target option based on the degree of deviation and the at least two preset options for the target node. The at least two target options for the target node include at least two preset options, and the preset options include option text.

[0072] Optionally, the attribute value corresponding to each target attribute is compared with the preset attribute value standard corresponding to the target attribute to determine the degree of deviation between the attribute value corresponding to multiple target attributes and the corresponding preset attribute value standard. This includes: calculating the difference between the attribute value corresponding to each target attribute and the corresponding preset attribute value standard to obtain the standard deviation value corresponding to each target attribute. The standard deviation value corresponding to each target attribute is used to indicate the degree of deviation between the attribute value corresponding to the target attribute and the corresponding preset attribute value standard.

[0073] Optionally, based on the degree of deviation and at least two preset options for the target node, at least two target options for the target node, and at least one attribute adjustment value corresponding to each target option, are determined, including: determining whether the degree of deviation between the attribute value corresponding to each target attribute and the corresponding preset attribute value standard is greater than the corresponding preset deviation threshold; if the degree of deviation between the attribute value corresponding to any target attribute and the corresponding preset attribute value standard is greater than the corresponding preset deviation threshold, then at least one correction option for the target node is generated through a pre-trained real-time query language model, resulting in at least two target options for the target node, the correction option including option text; based on the degree of deviation, at least one attribute adjustment value corresponding to each correction option and each preset option is calculated through a pre-trained real-time query language model, the at least one attribute adjustment value being used to reduce the degree of deviation.

[0074] Optionally, based on the degree of deviation, at least one attribute adjustment value corresponding to each correction option and each preset option is calculated using a pre-trained real-time query language model. This includes: obtaining the total number of target nodes in the target inspection period, where the target inspection period is used to indicate the period from the previous preset inspection node to the next preset inspection node; and calculating the adjustment value for the total number of target nodes and the degree of deviation using a pre-trained real-time query language model to obtain at least one attribute adjustment value corresponding to each correction option and each preset option.

[0075] Optionally, after determining whether the deviation between the attribute value corresponding to each target attribute and the corresponding preset attribute value standard is greater than the corresponding preset deviation threshold, the method further includes: if the deviation between the attribute value corresponding to all target attributes and the corresponding preset attribute value standard is less than the corresponding preset deviation threshold, then at least two preset options of the target node are determined as at least two target options of the target node, the preset attribute adjustment value corresponding to each preset option is determined as at least one attribute adjustment value corresponding to each target option, and the preset feedback text corresponding to each preset option is determined as the feedback text corresponding to each target option.

[0076] This embodiment also provides a computer-readable storage medium storing computer-executable instructions. When these computer-executable instructions are invoked and executed by a processor, they cause the processor to implement the aforementioned method for adjusting object attributes, for example:

[0077] In response to the option generation instruction for the target node, the attribute values ​​corresponding to multiple target attributes of the target object are obtained respectively; the target node is a plot node that affects the attribute value corresponding to at least one target attribute; based on the degree of deviation between the attribute values ​​corresponding to multiple target attributes and the corresponding preset attribute value standard, at least two target options for the target node are determined, as well as at least one attribute adjustment value corresponding to each target option, and the attribute adjustment value is used to indicate the adjustment value of the corresponding target attribute.

[0078] In this method, at story nodes that can affect the target attributes of the target object, at least two target options are provided to the player based on the degree of deviation between the attribute values ​​of each target attribute of the target object and the standard, as well as the attribute adjustment value of each target option, so that the attributes of the target object can be dynamically adjusted according to the degree of deviation, thus avoiding the imbalance of object attributes.

[0079] Optionally, after determining at least two target options for the target node and at least one attribute adjustment value corresponding to each target option, the method further includes: generating feedback text corresponding to each target option based on the attribute adjustment value corresponding to each target option, wherein the feedback text is used to explain the at least one attribute adjustment value corresponding to the target option.

[0080] Optionally, based on the attribute adjustment value corresponding to each target option, feedback text corresponding to each target option is generated, including: using a pre-trained real-time query language model to perform real-time language queries on all target options and at least one attribute adjustment value corresponding to each target option to obtain feedback text corresponding to each target option.

[0081] Optionally, based on the degree of deviation between the attribute values ​​corresponding to multiple target attributes and the corresponding preset attribute value standards, at least two target options for the target node are determined, as well as at least one attribute adjustment value corresponding to each target option. This includes: obtaining the preset attribute value standards corresponding to each target attribute of the target object at the previous preset check node, where the preset check node is a preset plot node; comparing the attribute value corresponding to each target attribute with the preset attribute value standards corresponding to the target attribute to determine the degree of deviation between the attribute values ​​corresponding to multiple target attributes and the corresponding preset attribute value standards; and determining at least two target options for the target node and at least one attribute adjustment value corresponding to each target option based on the degree of deviation and the at least two preset options for the target node. The at least two target options for the target node include at least two preset options, and the preset options include option text.

[0082] Optionally, the attribute value corresponding to each target attribute is compared with the preset attribute value standard corresponding to the target attribute to determine the degree of deviation between the attribute value corresponding to multiple target attributes and the corresponding preset attribute value standard. This includes: calculating the difference between the attribute value corresponding to each target attribute and the corresponding preset attribute value standard to obtain the standard deviation value corresponding to each target attribute. The standard deviation value corresponding to each target attribute is used to indicate the degree of deviation between the attribute value corresponding to the target attribute and the corresponding preset attribute value standard.

[0083] Optionally, based on the degree of deviation and at least two preset options for the target node, at least two target options for the target node, and at least one attribute adjustment value corresponding to each target option, are determined, including: determining whether the degree of deviation between the attribute value corresponding to each target attribute and the corresponding preset attribute value standard is greater than the corresponding preset deviation threshold; if the degree of deviation between the attribute value corresponding to any target attribute and the corresponding preset attribute value standard is greater than the corresponding preset deviation threshold, then at least one correction option for the target node is generated through a pre-trained real-time query language model, resulting in at least two target options for the target node, the correction option including option text; based on the degree of deviation, at least one attribute adjustment value corresponding to each correction option and each preset option is calculated through a pre-trained real-time query language model, the at least one attribute adjustment value being used to reduce the degree of deviation.

[0084] Optionally, based on the degree of deviation, at least one attribute adjustment value corresponding to each correction option and each preset option is calculated using a pre-trained real-time query language model. This includes: obtaining the total number of target nodes in the target inspection period, where the target inspection period is used to indicate the period from the previous preset inspection node to the next preset inspection node; and calculating the adjustment value for the total number of target nodes and the degree of deviation using a pre-trained real-time query language model to obtain at least one attribute adjustment value corresponding to each correction option and each preset option.

[0085] Optionally, after determining whether the deviation between the attribute value corresponding to each target attribute and the corresponding preset attribute value standard is greater than the corresponding preset deviation threshold, the method further includes: if the deviation between the attribute value corresponding to all target attributes and the corresponding preset attribute value standard is less than the corresponding preset deviation threshold, then at least two preset options of the target node are determined as at least two target options of the target node, the preset attribute adjustment value corresponding to each preset option is determined as at least one attribute adjustment value corresponding to each target option, and the preset feedback text corresponding to each preset option is determined as the feedback text corresponding to each target option.

[0086] The computer program product of the object attribute adjustment method, apparatus, electronic device and storage medium provided in the embodiments of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods described in the preceding method embodiments. For specific implementation, please refer to the method embodiments, which will not be repeated here.

[0087] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system and apparatus described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0088] Furthermore, in the description of the embodiments of the present invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention based on the specific circumstances.

[0089] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0090] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0091] Finally, it should be noted that the above embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for adjusting object attributes, characterized in that, The method includes: In response to an option generation command for a target node, the attribute values ​​corresponding to multiple target attributes of the target object are obtained; the target node is a plot node that affects the attribute value corresponding to at least one target attribute. Based on the degree of deviation between the attribute values ​​corresponding to the multiple target attributes and the corresponding preset attribute value standards, at least two target options for the target node are determined, as well as at least one attribute adjustment value corresponding to each target option. The attribute adjustment value is used to indicate the adjustment value of the corresponding target attribute. The step of determining at least two target options for a target node, and at least one attribute adjustment value corresponding to each target option, based on the deviation between the attribute values ​​corresponding to the plurality of target attributes and the corresponding preset attribute value standards, includes: Obtain the preset attribute value standard corresponding to each target attribute of the target object at the previous preset check node, where the preset check node is a preset plot node; The attribute value corresponding to each target attribute is compared with the preset attribute value standard corresponding to the target attribute to determine the degree of deviation between the attribute value corresponding to each of the multiple target attributes and the corresponding preset attribute value standard. Based on the degree of deviation and at least two preset options of the target node, at least two target options of the target node are determined, as well as at least one attribute adjustment value corresponding to each target option. The at least two target options of the target node include at least the at least two preset options, and the preset options include option text.

2. The method according to claim 1, characterized in that, After determining at least two target options for the target node, and at least one attribute adjustment value corresponding to each target option, the method further includes: Based on the attribute adjustment value corresponding to each target option, generate feedback text for each target option, wherein the feedback text is used to explain at least one attribute adjustment value corresponding to the target option.

3. The method according to claim 2, characterized in that, The step of adjusting the attribute values ​​according to each target option and generating feedback text for each target option includes: Using a pre-trained real-time query language model, real-time language queries are performed on all target options and at least one attribute adjustment value corresponding to each target option to obtain the feedback text corresponding to each target option.

4. The method according to claim 1, characterized in that, The step of comparing the attribute value corresponding to each target attribute with the preset attribute value standard corresponding to the target attribute to determine the degree of deviation between the attribute value corresponding to each of the multiple target attributes and the corresponding preset attribute value standard includes: The difference between the attribute value corresponding to each target attribute and the corresponding preset attribute value standard is calculated to obtain the standard deviation value corresponding to each target attribute. The standard deviation value corresponding to each target attribute is used to indicate the degree of deviation between the attribute value corresponding to the target attribute and the corresponding preset attribute value standard.

5. The method according to claim 1, characterized in that, The step of determining at least two target options for the target node, and at least one attribute adjustment value corresponding to each target option, based on the degree of deviation and at least two preset options for the target node, includes: Determine whether the deviation between the attribute value corresponding to each target attribute and the corresponding preset attribute value standard is greater than the corresponding preset deviation threshold. If the deviation between the attribute value corresponding to any target attribute and the corresponding preset attribute value standard is greater than the corresponding preset deviation threshold, then at least one correction option for the target node is generated by the pre-trained real-time query language model, resulting in at least two target options for the target node, wherein the correction option includes option text. Based on the degree of deviation, at least one attribute adjustment value is calculated for each correction option and each preset option using a pre-trained real-time query language model. The at least one attribute adjustment value is used to reduce the degree of deviation.

6. The method according to claim 5, characterized in that, The step of calculating at least one attribute adjustment value corresponding to each correction option and each preset option based on the degree of deviation using a pre-trained real-time query language model includes: Obtain the total number of target nodes for the target inspection cycle, wherein the target inspection cycle is used to indicate the period from the previous preset inspection node to the next preset inspection node; The total number of target nodes and the degree of deviation are adjusted by a pre-trained real-time query language model to obtain at least one attribute adjustment value for each correction option and each preset option.

7. The method according to claim 5, characterized in that, After determining whether the deviation between the attribute value corresponding to each target attribute and the corresponding preset attribute value standard is greater than the corresponding preset deviation threshold, the method further includes: If the deviation between the attribute value corresponding to all target attributes and the corresponding preset attribute value standard is less than the corresponding preset deviation threshold, then at least two preset options of the target node are determined as at least two target options of the target node, the preset attribute adjustment value corresponding to each preset option is determined as at least one attribute adjustment value corresponding to each target option, and the preset feedback text corresponding to each preset option is determined as the feedback text corresponding to each target option.

8. A device for adjusting object attributes, characterized in that, The device includes: The acquisition module is used to acquire the attribute values ​​corresponding to multiple target attributes of the target object in response to the option generation instruction for the target node; the target node is a plot node that affects the attribute value corresponding to at least one target attribute. The determination module is used to determine at least two target options of the target node and at least one attribute adjustment value corresponding to each target option based on the degree of deviation between the attribute values ​​corresponding to the plurality of target attributes and the corresponding preset attribute value standards. The attribute adjustment value is used to indicate the adjustment value of the corresponding target attribute. The determining module includes: The acquisition submodule is used to acquire the preset attribute value standard corresponding to each target attribute of the target object in the previous preset check node, wherein the preset check node is a preset plot node; The comparison submodule is used to compare the attribute value corresponding to each target attribute with the preset attribute value standard corresponding to the target attribute, and determine the degree of deviation between the attribute value corresponding to the multiple target attributes and the corresponding preset attribute value standard; The determination submodule is used to determine at least two target options for the target node and at least two preset options for the target node, as well as at least one attribute adjustment value corresponding to each target option, based on the deviation degree and at least two preset options for the target node. The at least two target options for the target node include at least the at least two preset options, and the preset options include option text.

9. An electronic device, characterized in that, It includes a processor and a memory, the memory storing machine-executable instructions that can be executed by the processor, the processor executing the machine-executable instructions to implement the object attribute adjustment method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when invoked and executed by a processor, cause the processor to implement the method for adjusting object attributes as described in any one of claims 1-7.

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