Method, device and electronic device for processing information of electronic pets in games

Abstract

The present application discloses an information processing method, device and electronic device for electronic pets in a game, and relates to the field of information processing technology. The method includes: in response to a game match instruction, first obtaining the pet information of the electronic pets already in the player user and the opponent lineup information; then, according to the pet information and the opponent lineup information, determining the target pet to be put into battle and the formation information of the target pet from the existing electronic pets; then, according to the target pet and the formation information of the target pet, generating the game plan information for the pet to be put into battle and displaying it to the player user. The present application can effectively improve the situation where the original electronic pet resources are constantly abandoned, thereby reducing the waste of electronic pet resources.

Description

Technical Field

[0001] The present application relates to the field of information processing technology, and in particular to an information processing method, device and electronic device for electronic pets in a game. Background Art

[0002] Massive Multiplayer Online Role-Playing Game (MMORPG) is a type of online game. In all role-playing games, players play a fictional character and control many of the character's activities. At the same time, there is an electronic pet system that participates in the player character's battles.

[0003] At present, in order to keep players fresh in the game, new electronic pet resources are constantly produced. However, this method will cause the original electronic pet resources to be constantly abandoned, thereby causing a waste of electronic pet resources. Summary of the invention

[0004] In view of this, the present application provides a method, device and electronic device for processing information of electronic pets in games, the main purpose of which is to improve the technical problem that the current existing methods will cause the original electronic pet resources to be continuously abandoned, thereby causing waste of electronic pet resources.

[0005] According to one aspect of the present application, a method for processing information of an electronic pet in a game is provided, the method comprising:

[0006] In response to a game match instruction, obtain the pet information of the electronic pet that the player user already has and the opponent lineup information;

[0007] According to the pet information and the opponent lineup information, determining a target pet to be put into battle and the lineup information of the target pet from the existing electronic pets;

[0008] Based on the target pet and the target pet's formation information, game plan information for putting the pet on the field is generated and displayed to the player user.

[0009] According to another aspect of the present application, a device for processing information of an electronic pet in a game is provided, the device comprising:

[0010] An acquisition unit, for acquiring pet information of an existing electronic pet of a player user and opponent lineup information in response to a game match instruction;

[0011] A determination unit, configured to determine a target pet to be put into battle and the formation information of the target pet from the existing electronic pets according to the pet information and the opponent lineup information;

[0012] A generating unit is used to generate game plan information for putting pets into battle according to the target pet and the target pet's formation information and display it to the player user.

[0013] According to another aspect of the present application, a storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the information processing method of the electronic pet in the above-mentioned game is implemented.

[0014] According to another aspect of the present application, an electronic device is provided, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor implements the information processing method of the electronic pet in the above-mentioned game when executing the computer program.

[0015] By means of the above technical scheme, the present application provides a method, device and electronic device for processing information of electronic pets in a game. Compared with the current existing technology, the present application can make full use of all electronic pet resources already available to the player user, and make reasonable use of existing resources to enrich the game content, from which the target pet suitable for the current game and the corresponding pet array information can be matched for the player user, so that the player user can select the electronic pet and the corresponding array content according to actual needs. Specifically, after receiving the game match instruction, the target pet to be put into battle and the array information of the target pet can be determined from the electronic pets already available to the player user according to the pet information of the electronic pets already available to the player user and the opponent's lineup information; then, according to the target pet and the corresponding array information, the game plan information of the pet is generated and displayed to the player user. By applying the technical scheme of the present application, not only can the situation that the original electronic pet resources are constantly abandoned be effectively improved, but also the waste of electronic pet resources can be reduced. It can also accurately match the target pet suitable for the current game and the corresponding pet array information, help the player user make a choice quickly, and improve the game efficiency of the player user. It also changes the conventional way of playing electronic pets, making it easier for players to interact with electronic pets, thus improving the gaming experience of players.

[0016] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1A schematic diagram showing a flow chart of a method for processing information of an electronic pet in a game provided by an embodiment of the present application;

[0019] Figure 2 A schematic flow chart showing another method for processing information of an electronic pet in a game provided by an embodiment of the present application is shown;

[0020] Figure 3 A schematic diagram showing a classification restraint relationship provided by an embodiment of the present application is shown;

[0021] Figure 4 A schematic diagram showing an example of an array provided by an embodiment of the present application is shown;

[0022] Figure 5 A schematic diagram showing the operation process of a player user provided by an embodiment of the present application is shown;

[0023] Figure 6 A schematic diagram of the structure of an information processing device for an electronic pet in a game provided by an embodiment of the present application is shown. DETAILED DESCRIPTION

[0024] The present application will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0025] In order to improve the current existing method, the original electronic pet resources will be constantly abandoned, thereby causing the technical problem of wasting electronic pet resources. This embodiment provides a method for processing information of electronic pets in a game, such as Figure 1 As shown, the method includes:

[0026] Step 101, in response to a game match instruction, obtain the pet information of the electronic pet that the player user already has and the opponent lineup information.

[0027] The game in this embodiment can be a turn-based game or other types of games that meet the needs. The game match command can be triggered by the player user or by the system, such as the system triggering the player user to play against other players or non-player characters (NPC) at an agreed time point.

[0028] Pet information may include pet identification, pet type, pet growth attributes (such as attack value range, attack frequency, defense value, health value, attack avoidance ability, etc.), pet skill content (such as ordinary skills, big moves, etc., pet machine intelligence (Artificial Intelligence, AI), etc. The opponent lineup information may include relevant information of the opponent's character (such as character type, character growth attributes, character skill content, etc.). If the character has an electronic pet, the opponent lineup information may also include relevant information of the opponent's pet (such as pet identification, pet type, pet growth attributes, pet skill content, etc.). In addition, the opponent lineup information may also include formation information of the opponent's character and / or opponent's pet.

[0029] The execution subject of this embodiment may be an information processing device or equipment for electronic pets in the game, and may be configured on the user terminal side or the cloud server side. For example, if it is on the user terminal side (such as a personal computer, smart phone, tablet computer, etc.), it may request from the cloud server to obtain the pet information of the electronic pets that the player user already has and the opponent lineup information; if it is on the cloud server side, it may query the pet information of the electronic pets that the player user already has and the opponent lineup information after receiving the game match request from the player user.

[0030] It should be noted that the method of this embodiment is based on the game data of each player user in the game, and will not involve the personal privacy data of the player user, thereby ensuring the privacy security of the user.

[0031] Step 102: According to the pet information of the electronic pets already owned by the player user and the opponent lineup information, determine the target pet to be deployed and the lineup information of the target pet from the electronic pets already owned by the player user.

[0032] For this embodiment, all electronic pet resources that the player user already has can be fully utilized to make reasonable use of existing resources to enrich the game content. From all these existing electronic pet resources, the player user can be matched with the target pet suitable for the current game and the corresponding pet formation information. In addition, the player user can also manually select the configuration according to their own needs, such as through the combination of formation rules, classification restraint relationship, pet big move, pet AI and other elements. The player has a variety of lineups to match and combine to achieve his own optimal combination, and he also needs to adjust the pets in his own lineup according to the opponent's lineup and formation.

[0033] Step 103: Generate game plan information for the pet based on the target pet to be deployed and the deployment information of the target pet and display it to the player user.

[0034] The game plan information may include the target pet to be deployed in the game and the deployment information of the target pet. The player user may choose to use it or manually adjust it. After confirming the pet deployment plan, the game challenge may be carried out.

[0035] When players use the game plan information to fight, it can be completely automatic. The battle is just a battle verification of the already matched cosmetic and array. Players can also watch different pets fight. And in order to improve the viewing experience and help players accurately understand the game process, as an optional method, a specific viewing angle can be set to a fixed -45° top-down angle, which is different from the 3D viewing angle other than this method, while retaining the original screen shake and lens zooming in and out.

[0036] As another optional method, this embodiment can also determine the display perspective information of the electronic pet in the game based on the electronic pet's skeleton information, and / or the game scene information, and / or the player character's skeleton information, and / or the player user's current viewing perspective information, and then adjust the corresponding display perspective of the electronic pet in the game according to the display perspective information, and display the pet game battle process to the player user at this display perspective, so that the player user can clearly understand the game process of the electronic pet.

[0037] The electronic pet's skeletal information (such as the pet's skeletal point coordinates, the orientation of the pet's facial bones, etc.), the game scene information (such as the terrain information in the game, the game props involved, the game battle type involved, the battle screen level, and the game background information), the player character's skeletal direction information (such as the player character's skeletal point coordinates, the orientation of the character's facial bones, etc.), and the player user's current viewing angle information can be obtained from the game data.

[0038] For example, by referring to multiple angles such as the electronic pet's skeleton information, game scene information, the player character's skeleton direction information, the player user's current viewing perspective information, etc., a comprehensive analysis is performed to obtain the display perspective information in the pet game that is suitable for the current game scene and / or matches the player character's perspective, and / or is suitable for the player user to view the complete game details. Based on the display perspective information, the corresponding display perspective of the electronic pet in the game game can be adjusted to achieve a better pet game display effect.

[0039] At present, conventional pets use a real-time type of combat mode, that is, the pet's independent AI behavior participates in the player's daily combat gameplay, or controls the pet to release skills with an active button operation. This is the main combat gameplay mechanism of the current pet system. Although this conventional pet real-time combat mode conforms to the traditional mode, it is too simple; new pets are constantly created in the game, and the resources of the original pets are constantly abandoned; the current game combat intensity is too high, and the player always maintains a combat feeling; the separation between pets and players is too strong, and it is currently difficult for pets to interact with players.

[0040] Compared with the current prior art, the method of this embodiment innovates some other improvement modes in the traditional battle mode of electronic pets, reclassifies and positions electronic pets, changes the existing cognition of players on pets, and can make full use of all electronic pet resources that player users already have, so as to reasonably use existing resources to enrich the game content, and match the target pets suitable for the current game and the corresponding pet array information for the player users, so that the player users can choose the electronic pets and the corresponding array content for the battle according to actual needs. By applying the technical solution of this embodiment, not only can the situation that the original electronic pet resources are constantly abandoned be effectively improved, but also the waste of electronic pet resources can be reduced. It can also accurately match the target pets suitable for the current game and the corresponding pet array information, help the player users to make choices quickly, and improve the game efficiency of the player users. Moreover, it changes the conventional game mode of electronic pets, makes it easy for players to interact with electronic pets, and improves the game experience of player users. Thus, some relaxing and casual experiences can be tried in the high-pressure and high-load battle experience of MMORPG.

[0041] Further, as a refinement and expansion of the specific implementation of the above embodiment, in order to fully illustrate the specific implementation process of this embodiment, another method for processing information of electronic pets in a game is provided, such as Figure 2 As shown, the method includes:

[0042] Step 201: In response to a game match instruction, obtain the pet information of the electronic pet that the player user already has and the opponent lineup information.

[0043] Step 202: Obtain opponent information and opponent formation information from the opponent lineup information.

[0044] The opponent information may include: opponent characters with or without electronic pets to meet the needs of different scenarios. The opponent information may specifically include relevant information of the opponent character, relevant information of the opponent pet, etc.

[0045] Step 203: Determine the combat attribute classification of the opponent information.

[0046] Optionally, step 203 may specifically include: determining the combat attribute classification of the opponent information based on the opponent's character attributes (such as the character's occupation category, character level, strength, physical strength, health, agility, etc.), and / or pet attributes (such as pet growth attributes, pet type, pet skill content, etc.), and / or equipment attributes (such as the attribute addition to the character, whether additional special skills are added, etc.). Through this optional method, the combat attribute classification of the opponent information can be accurately determined from multiple angles, thereby facilitating accurate matching of the target pet to be deployed and the formation information of the target pet based on the combat attribute classification of the opponent information.

[0047] Step 204, based on the combat attribute classification of the opponent information, the preset classification restraint relationship and the pet information of the electronic pets already in the player user, determine the target pet to be deployed from the electronic pets already in the player user, and determine the formation information of the target pet according to the formation information of the opponent information.

[0048] The preset classification restraint relationship can be pre-set according to actual needs. For example, all the current electronic pets in the game are re-positioned and classified, and a set of restraint cycles are pre-designed according to the positioning classification, such as Figure 3 As shown, "Output" restrains "Hegemony", "Hegemony" restrains "Control", and "Control" restrains "Output". Among them, "Output" represents the category with stronger attack power, "Hegemony" represents the category with stronger defense power, and "Control" represents the category with stronger control skills.

[0049] Optionally, step 204 may specifically include: first, according to a preset classification restraint relationship, obtaining electronic pets that can restrain the combat attribute classification from existing electronic pets as candidate pets; then scoring the candidate pets, and selecting the target pet to be deployed from the candidate pets with higher scores.

[0050] In this embodiment, if the number of candidate pets obtained after screening is limited, no scoring is required and the obtained candidate pets are directly used as target pets to be deployed. If the number of candidate pets obtained after screening is large, further scoring and screening may be performed.

[0051] In order to improve the accuracy of screening and help players accurately match the appropriate target pets for battle, it is further optional to score the candidate pets, which may include: scoring the candidate pets according to the electronic pet's growth attribute information (such as health, attack power, defense power, etc.), and / or skill information (skill effect, damage value, damage range, damage amount, etc.), and / or intelligent attack mode (AI mode).

[0052] For example, each pet has its own ultimate skill, and the ultimate skill of the pet follows the time, and the release rhythm of the ultimate skill of different pets is different. The AI ​​of different types and special pets is also different. For example, in target switching, when the locked target dies, the electronic pet reselects the target. When a closer target appears in the locked enemy range, after executing this attack, the next attack switches to the nearest target and automatically attacks. Or if the attack target leaves (charges) and there is a closer target in the locked enemy range, then reselect the target closest to you to attack. In special target switching, some electronic pets may have active skill effects, such as the "taunt" skill, which forces the target in the range to attack itself for a certain period of time (configurable); after the "taunt" ends, the taunted target re-locks the target closest to itself and attacks.

[0053] For example, in the specific scoring process, a weighted summation method may be used, such as scoring the range of the growth attribute information of the electronic pet 1 to obtain a score A; scoring the range of the technical effect of the electronic pet 1 to obtain a score B; and scoring the range of the AI ​​degree of the electronic pet 1 to obtain a score C. Finally, the score A, score B, and score C are weightedly summed to obtain the final score of the electronic pet 1.

[0054] In step 204, there are multiple optional ways to determine the formation information of the target pet based on the formation information of the opponent information. As an optional way, the process may specifically include: first determining the offensive and defensive formation information of the opponent information; then using the preset response formation information corresponding to the offensive and defensive formation information of the opponent information as the formation information of the target pet. Among them, different offensive and defensive formation information are preset with corresponding response formation information. Through this targeted response formation method, the formation information of the pet in battle can be accurately determined.

[0055] For example, Figure 4 As shown, if the opponent is in the a formation in the defensive formation, its corresponding preset response formation is the b formation in the attack formation, and then the formation information of the target pet can be determined according to the b formation; if the opponent is in the c formation in the attack formation, its corresponding preset response formation is the d formation in the defensive formation, and then the formation information of the target pet can be determined according to the d formation.

[0056] As another optional method, the formation information of the target pet is determined according to the formation information of the opponent information, which may specifically include: firstly, based on the opponent information and the formation information of the opponent information, the corresponding winning rate of the target pet is calculated according to different formation information; then the formation information with the highest winning rate is used as the formation information of the target pet. By this advance calculation method, the formation information of the pet in battle can also be accurately determined.

[0057] The contents shown in the above steps 202 to 204 may be a specific implementation process for determining the target pet to be put into battle and the formation information of the target pet from the electronic pets that the player user already has, based on the pet information of the electronic pet that the player user already has and the opponent's lineup information. As another specific implementation process, the target pet to be put into battle and the formation information of the target pet may be calculated by a machine learning model, that is, the result is obtained quickly and accurately by means of AI recognition; accordingly, before determining the target pet to be put into battle and the formation information of the target pet from the electronic pets that the player user already has, based on the pet information of the electronic pet that the player user already has and the opponent's lineup information, the method of this embodiment also includes: first, creating a training set based on sample data of electronic pet games in the game; and then using the training set to obtain a machine learning model through training by a machine learning algorithm.

[0058] Machine learning models can also be trained based on a large number of experimental data from player users. Figure 5 As described above, the player user can observe the opponent lineup to be challenged, select the pets to be deployed, and arrange the pets deployed, and then challenge to determine whether they win. If they win, it means that the pets selected and the deployment can cope with the opponent lineup, and if they fail, the battle is over, and the player can reflect on the current battle and re-combine their lineup pets so that they can challenge the same opponent lineup again in the future. This game data, including positive and negative samples, is recorded, and then trained to obtain a machine learning model, or the machine learning model can be continuously updated based on the latest game data to improve the recognition accuracy of the machine learning model.

[0059] Step 205: Generate game plan information for the pet based on the target pet to be deployed and the deployment information of the target pet and display it to the player user.

[0060] Further, optionally, in order to facilitate user adjustment, taking the game as a turn-based game as an example, after the player user selects the target pet to be put into battle in this round and the formation information of the target pet, the method of this embodiment also includes: if the game in this round fails, then according to the failure reason information, the corresponding adjustment plan information can be recommended to the player user. Specifically, the possible failure reason information can be inferred according to the big data analysis mechanism, and then the corresponding adjustment plan information can be recommended to the player user to help the player user quickly adjust so as to deal with the same game situation in the future.

[0061] Based on the optional way of obtaining the result using the machine learning model in step 204, further optionally, the method of this embodiment may also include: if the game fails according to the game plan information, obtaining the player user's adjusted winning pet selection information and corresponding formation selection information; then using the adjusted winning pet selection information and corresponding formation selection information to update the machine learning model to improve the subsequent recognition accuracy of the machine learning model.

[0062] The method provided in this embodiment can enrich the traditional boring pet gameplay and allow players to experience different combat feelings. Reuse excess resources. Due to the problem of pet resource iteration, there are more and more old resources. The method in this embodiment reuses excess resources to create a new combat mode experience. The development cost is low, saving new art requirements. You only need to plan and design the strategy effect to complete the development, which improves the efficiency of development.

[0063] Further, as Figure 1 and Figure 2 The specific implementation of the method shown in the embodiment provides an information processing device for an electronic pet in a game, such as Figure 6 As shown, the device includes: an acquisition unit 31, a determination unit 32, and a generation unit 33.

[0064] The acquisition unit 31 is used to obtain the pet information of the electronic pet that the player user already has and the opponent lineup information in response to the game match instruction;

[0065] A determination unit 32, configured to determine a target pet to be put into battle and the formation information of the target pet from the existing electronic pets according to the pet information and the opponent formation information;

[0066] The generating unit 33 is used to generate the game plan information of the pet according to the target pet and the formation information of the target pet and display it to the player user.

[0067] In a specific application scenario, the determination unit 32 is specifically used to obtain the opponent information to be deployed and the formation information of the opponent information from the opponent lineup information, wherein the opponent information includes: opponent characters with or without electronic pets; determining the combat attribute classification of the opponent information; based on the combat attribute classification, the preset classification restraint relationship and the pet information, determining the target pet to be deployed from the existing electronic pets, and determining the formation information of the target pet according to the formation information.

[0068] In a specific application scenario, the determination unit 32 is further used to determine the combat attribute classification of the opponent information based on the opponent's character attributes, and / or pet attributes, and / or equipment attributes.

[0069] In a specific application scenario, the determination unit 32 is further used to obtain, according to the preset classification restraint relationship, electronic pets in the existing electronic pets that can restrain the combat attribute classification as candidate pets; score the candidate pets, and select the target pet from the candidate pets with higher scores.

[0070] In a specific application scenario, the determination unit 32 is further configured to score the candidate pets according to the growth attribute information, and / or skill information, and / or intelligent attack mode of the electronic pet.

[0071] In a specific application scenario, the determination unit 32 is further used to determine the attack and defense formation information of the opponent information; and use the preset response formation information corresponding to the attack and defense formation information of the opponent information as the formation information of the target pet.

[0072] In a specific application scenario, the determination unit 32 is further used to calculate the corresponding winning rate of the target pet according to different formation information based on the opponent information and the formation information of the opponent information; and use the formation information with the highest winning rate as the formation information of the target pet.

[0073] In a specific application scenario, optionally, the game is a turn-based game;

[0074] The generation unit 33 is also used to recommend corresponding adjustment plan information to the player user based on the failure reason information after the player user selects the target pet to be deployed in this round and the formation information of the target pet, if the game fails in this round.

[0075] In a specific application scenario, optionally, the target pet and the formation information of the target pet are calculated by a machine learning model; the device further includes: a training unit;

[0076] A training unit is used to create a training set based on sample data of electronic pet games in the game before determining a target pet to be deployed and the formation information of the target pet from the existing electronic pets based on the pet information and the opponent's lineup information; and use the training set to train the machine learning model.

[0077] In a specific application scenario, the device further includes: an updating unit;

[0078] An updating unit is used to obtain the player user's adjusted winning pet selection information and corresponding formation selection information if the game fails according to the recommendation information; and update the machine learning model using the adjusted winning pet selection information and corresponding formation selection information.

[0079] It should be noted that for other corresponding descriptions of the functional units involved in the information processing device for an electronic pet in a game provided in this embodiment, reference can be made to Figure 1 and Figure 2 The corresponding description in will not be repeated here.

[0080] Based on the above Figure 1 and Figure 2 The method shown in the embodiment also provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned Figure 1 and Figure 2 The information processing method of the electronic pet in the game shown.

[0081] Based on this understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, USB flash drive, mobile hard disk, etc.), including a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of various implementation scenarios of the present application.

[0082] Based on the above Figure 1 and Figure 2 The method shown, and Figure 6 In order to achieve the above-mentioned purpose, the embodiment of the present application also provides an electronic device, which can be a personal computer, a laptop computer, a smart phone, a server or other network device, etc. The device includes a storage medium and a processor; the storage medium is used to store a computer program; the processor is used to execute the computer program to achieve the above-mentioned Figure 1 and Figure 2 The information processing method of the electronic pet in the game shown.

[0083] Optionally, the above-mentioned physical device may also include a user interface, a network interface, a camera, a radio frequency (RF) circuit, a sensor, an audio circuit, a WI-FI module, etc. The user interface may include a display, an input unit such as a keyboard, etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (such as a WI-FI interface), etc.

[0084] Those skilled in the art will appreciate that the above-mentioned physical device structure provided in this embodiment does not constitute a limitation on the physical device, and may include more or fewer components, or a combination of certain components, or different arrangements of components.

[0085] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the hardware and software resources of the above-mentioned physical device, and supports the operation of the information processing program and other software and / or programs. The network communication module is used to realize the communication between the components inside the storage medium, and the communication with other hardware and software in the information processing physical device.

[0086] Through the description of the above implementation mode, the technicians in this field can clearly understand that the present application can be implemented by means of software plus necessary general hardware platform, or by hardware. By applying the scheme of this embodiment, all electronic pet resources available to the player user can be fully utilized, and the existing resources can be reasonably utilized to enrich the game content, from which the target pet suitable for the current game and the corresponding pet array information can be matched for the player user, so that the player user can select the electronic pet and the corresponding array content according to the actual needs. By applying the technical scheme of this embodiment, not only can the situation that the original electronic pet resources are constantly abandoned be effectively improved, but also the waste of electronic pet resources can be reduced. It can also accurately match the target pet suitable for the current game and the corresponding pet array information, help the player user to make a choice quickly, and improve the game efficiency of the player user. Moreover, it changes the conventional game mode of electronic pets, makes it easy for players to interact with electronic pets, and improves the game experience of the player user.

[0087] Those skilled in the art will appreciate that the accompanying drawings are only schematic diagrams of a preferred implementation scenario, and the modules or processes in the accompanying drawings are not necessarily necessary for implementing the present application. Those skilled in the art will appreciate that the modules in the devices in the implementation scenario can be distributed in the devices of the implementation scenario according to the description of the implementation scenario, or can be changed accordingly and located in one or more devices different from the present implementation scenario. The modules of the above-mentioned implementation scenario can be combined into one module, or can be further split into multiple submodules.

[0088] The above serial numbers of this application are only for description and do not represent the advantages and disadvantages of the implementation scenarios. The above disclosure is only a few specific implementation scenarios of this application, but this application is not limited to them, and any changes that can be thought of by technicians in this field should fall within the scope of protection of this application.

Claims

1. A method for processing information of electronic pets in a game, characterized in that: include: In response to a game match instruction, obtain the pet information of the electronic pet that the player user already has and the opponent lineup information; According to the pet information and the opponent lineup information, determine the target pet to be put into battle and the formation information of the target pet from the existing electronic pets, wherein the target pet is an electronic pet that can restrain the combat attribute classification to which the opponent lineup information belongs; According to the target pet and the target pet's formation information, generate game plan information for the pet to be put into battle and display it to the player user; When the player user uses the game plan information to fight, the display perspective information of the target pet in the game is determined according to the skeleton information of the target pet, and / or the game scene information, and / or the skeleton information of the player character, and / or the current viewing perspective information of the player user, so as to adjust the corresponding display perspective of the target pet in the game.

2. The method according to claim 1, characterized in that The step of determining a target pet to be put into battle and the formation information of the target pet from the existing electronic pets according to the pet information and the opponent formation information includes: Obtaining opponent information and formation information of the opponent information from the opponent lineup information, wherein the opponent information includes: opponent characters with or without electronic pets; Determine the combat attribute classification of the opponent's information; Based on the combat attribute classification, the preset classification restraint relationship and the pet information, the target pet to be deployed is determined from the existing electronic pets, and the formation information of the target pet is determined according to the formation information.

3. The method according to claim 2, characterized in that The combat attribute classification of the opponent information is specifically determined as follows: Based on the opponent's character attributes, and / or pet attributes, and / or equipment attributes, the combat attribute classification of the opponent information is determined.

4. The method according to claim 2, characterized in that: The step of determining the target pet to be deployed from the existing electronic pets based on the battle attribute classification, the preset classification restraint relationship and the pet information specifically includes: According to the preset classification restraint relationship, an electronic pet that can restrain the combat attribute classification among the existing electronic pets is obtained as a candidate pet; The candidate pets are scored, and the target pet is selected from the candidate pets with higher scores.

5. The method according to claim 4, characterized in that The scoring of the candidate pets specifically includes: The candidate pets are scored according to the growth attribute information, and / or skill information, and / or intelligent attack mode of the electronic pet.

6. The method according to claim 2, characterized in that Determining the formation information of the target pet according to the formation information specifically includes: Determine the offensive and defensive formation information of the opponent information; The preset response formation information corresponding to the attack and defense formation information of the opponent information is used as the formation information of the target pet.

7. The method according to claim 2, characterized in that: Determining the formation information of the target pet according to the formation information specifically includes: Based on the opponent information and the formation information of the opponent information, respectively calculating the corresponding winning rate of the target pet according to different formation information; The formation information with the highest winning rate is used as the formation information of the target pet.

8. The method according to claim 1, characterized in that: The game is a turn-based game; After the player user selects the target pet to be deployed in this round and the formation information of the target pet, the method further includes: If the current round of the game fails, corresponding adjustment plan information is recommended to the player user based on the failure reason information.

9. The method according to claim 1, characterized in that: The target pet and the target pet's formation information are calculated by a machine learning model; Before determining the target pet to be put into battle and the formation information of the target pet from the existing electronic pets according to the pet information and the opponent lineup information, the method further includes: Creating a training set based on sample data of electronic pet games in the game; The training set is used to train the machine learning model.

10. The method according to claim 9, characterized in that The method further comprises: If the game fails according to the game plan information, obtaining the player user's winning pet selection information and corresponding formation selection information after adjustment; The machine learning model is updated using the adjusted winning pet selection information and the corresponding formation selection information.

11. An information processing device for electronic pets in a game, characterized in that: include: An acquisition unit, for acquiring pet information of an existing electronic pet of a player user and opponent lineup information in response to a game match instruction; a determination unit, configured to determine a target pet to be put into battle and the formation information of the target pet from the existing electronic pets according to the pet information and the opponent lineup information, wherein the target pet is an electronic pet of a combat attribute classification that can restrain the opponent lineup information; A generating unit, for generating game plan information for putting pets into battle according to the target pet and the target pet's battle formation information, and displaying the information to the player user; The determination unit is also used to determine the display perspective information of the target pet in the game when the player user uses the game plan information to fight, based on the skeleton information of the target pet, and / or the game scene information, and / or the skeleton information of the player character, and / or the current viewing perspective information of the player user, so as to adjust the corresponding display perspective of the target pet in the game.

12. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 10 is implemented.

13. An electronic device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 10 is implemented.

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