667 results about "Game based" patented technology

The invention relates to a power distribution system optimization method considering a space-time game under vehicle-station-network interaction, and the method employs a double-layer optimization framework integrating the space-time game and dynamic electricity price, an upper decision maker is a power distribution system operator, and the power distribution system operation cost is minimized and the renewable energy consumption rate is maximized. Generating a dynamic electricity price signal in a time-sharing and partition manner; the lower-layer main body comprises an electric vehicle user and a charging station operator, and the electric vehicle user optimizes a charging time period and a charging station and forms charging demand distribution through a non-cooperative game based on a dynamic electricity price signal and a charging service charge by taking the maximum self-charging decision utility as a target; and a charging station operator optimizes and adjusts a charging service fee decision by taking charging demand distribution as input and taking revenue maximization as a target. Compared with the prior art, the method can collaboratively optimize the economic operation of the power grid and the consumption of renewable energy sources, promotes the efficient flow and balanced distribution of resources among regions, and provides decision support for the dispatching of the power distribution network.

The invention provides an interactive perception automatic driving method based on dual-mode game and deep inverse reinforcement learning, and belongs to the field of automatic driving. A Stackelberg game and a Bayesian Stackelberg game are adopted to comprehensively judge whether V2V is available or not, a leader declares a lane changing intention and a follower responds to a decision-making means of the leader according to a driving style of the follower, and then a human-like track is planned through deep inverse reinforcement learning, so that the use aims of better fitting the reality and improving safety and efficiency are achieved. The decision is divided into two modes of a Stackelberg game and a Bayesian Stackelberg game based on the integrity of the information; if all related vehicles provide interaction intentions through the V2V, a Stackelberg game is adopted; if part of the vehicle intentions are not transparent, opponent behaviors need to be speculated through a sensor and a probability model, and the Bayesian Stackelberg game is triggered.

The invention relates to the technical field of intelligent decision making, in particular to a digital twin command and decision feedback system for war game deduction based on multi-agent game confrontation. Comprising a digital twin modeling unit; a multi-agent game confrontation unit; a command instruction generation unit; a decision feedback evaluation unit; and a data interaction unit. According to the design of the invention, the precision of the model is adaptively adjusted through the digital twinborn modeling unit according to the criticality of the deduction scene, and the digital twinborn model can adapt to different criticality deduction requirements of a strategic layer, a tactical layer, a key confrontation scene and the like in combination with multi-scale division and cross-scale parameter coupling transmission; realizing cross-level dynamic association between the physical entity and the digital model; a real-time perception-decision closed-loop mechanism constructed based on a multi-agent game confrontation unit enables the agents to realize collaborative confrontation based on a real-time state autonomous evolution strategy of a digital twinborn scene, and solves the problem that the agent decision is disjointed from a physical scene state.

A method for generating broadcasts including receiving game state data and user data of players participating in a gaming session of a video game. A spectator zone-of-interest in the gaming session is identified having a scene of a virtual gaming world that is viewable from camera perspectives in the virtual gaming world. Statistics and facts are generated for the gaming session based on the game state data and the user data using a first AI model trained to isolate game state data and user data that are of interest by spectators. Narration is generated for the scene using a second AI model configured to select statistics and facts from the statistics and facts generated using the first AI model, the selected statistics and facts having a highest potential spectator interest as determined by the second AI model configured to generate the narration using the selected statistics and facts.

The embodiment of the invention provides a game task dynamic adjustment method and device, electronic equipment and a storage medium, and relates to the technical field of game development. The method comprises the following steps: acquiring game behavior data and historical task performance data of a current player; generating a target game task meeting the task preference of the current player based on the game behavior data and a preset task structure template library; and based on the game behavior data and the historical task performance data, in combination with a pre-training task difficulty prediction model, difficulty parameter adjustment is performed on a target game task, so that the difficulty of the target game task is matched with the current player, and personalized generation of task contents and dynamic adjustment of the difficulty are realized. The individuation degree of the task is effectively improved, the task difficulty is accurately matched with the player ability, and negative experience caused by too simple or difficult tasks is avoided.

The invention discloses an integrated energy system micro-grid group optimization method and system and related equipment. The method comprises the following steps: collecting observation data of an operator agent and a micro-grid agent; on the basis of the collected observation data of the operator intelligent agent and each micro-grid intelligent agent, alternately training an action network and an evaluation network of a double-layer intelligent agent, and repeatedly iterating to obtain a stably converged operator intelligent agent and a plurality of micro-grid intelligent agents; on the basis of the one-master multi-slave double-layer game model, a micro-grid group autonomous collaborative optimization model considering the multi-agent game is constructed; based on the state space, the action space, the environment and the reward function and the micro-grid group autonomous collaborative optimization model considering the multi-agent game, a micro-grid group autonomous collaborative optimization model based on deep reinforcement learning under the multi-agent environment is constructed; and solving the micro-grid group autonomous collaborative optimization model based on multi-agent deep reinforcement learning to obtain a micro-grid group optimization scheme. The method is beneficial to protecting the privacy of each micro-grid.

The disclosed concepts relate to managing help sessions in video games. A system or method receives control inputs from a helper during a help session in a video game. The system or method obtains a game state of the video game and determines whether to provide the control inputs to the video game based on the game state. In at least one instance, the system or method at least temporarily prevents the video game from receiving a particular control input.

A method including executing game logic of a video game to generate a plurality of video frames for a game play of the video game by a player, wherein game state data is generated during the executing the game logic. The method including determining a current context in the game play of the video game based on the game state data. The method including determining a user sentiment of the player towards the current context in the game play of the video game. The method including determining that the user sentiment of the player is inconsistent with an expected user sentiment for the current context. The method including generating an in-game effect for the current context. The method including presenting the in-game effect simultaneous with one or more video frames associated with the current context in the game play of the video game.

To provide a new technique for enhancing interest.SOLUTION: The game apparatus includes an acquirer configured to acquire character string information relating to acquisition of a game element, a specifier configured to specify the game element from the character string information, a display controller configured to display one or more pieces of character string information acquired by the acquirer on a display in a selectable state, and a controller configured to control, based on selection of any one of the one or more pieces of character string information, the game element specified from the selected character string information to be in an acquisition state in the game.SELECTED DRAWING: Figure 8

The invention discloses an interaction method and system between a game virtual character and a scene, and relates to the technical field of virtual interaction, in a virtual game, the corresponding scene is determined based on the spatial position of the game virtual character and the task node of the game virtual character; according to the scene, the current task content of the game virtual character and the game map, interaction between the game virtual character and the scene is triggered, the accuracy of interaction between the game virtual character and the scene is ensured, and the interaction effect of the game virtual character in each scene is protected. In the interaction between the game virtual character and the scene, determining a real-time experience event according to the energy feature of the game virtual character, the object feature in the scene and the experience module of the head-mounted display; the interaction action of the game virtual character is determined based on the real-time experience event, the corresponding scene and the reaction action of the user, the reaction action of the user is synchronized, and the accuracy of the interaction action of the game virtual character is ensured.

An information processing system includes a controller which receives an operation input of a user and an information processing unit which performs an information process based on the operation input received by the controller. The information processing unit includes a game progress unit which controls an own character in the virtual space based on the operation input of the user to draw the virtual space with the corresponding color of the own character and a battle determination unit which performs a battle determination based on a drawing state of a corresponding color of an enemy character, which is different from the corresponding color of the own character, to a virtual space and a drawing state of the corresponding color of the own character to the virtual space.

The invention discloses an incomplete information game intelligent processing method and system based on secure multi-party computing, a terminal and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining a game participant set, an initial game state, a historical action set, a terminal historical set, and a preset game strategy based on a secure near-end strategy optimization algorithm, an action set, an information set and a revenue function corresponding to each participant are obtained; according to the participant set, the initial game state, the historical action set, the terminal historical set, the game strategy, and the action set, the information set and the revenue function corresponding to each participant, carrying out modeling based on a modeling framework of an extended game tree, and constructing a security extended game model; and according to a preset optimization target and leaf nodes in the security extension type game model, determining a game result between the participants and outputting the game result. Therefore, the data security can be improved, and the security of the game process can be improved.

The invention belongs to the technical field of game rendering, and discloses an instant light color rendering system for a game scene, which comprises the following steps: collecting scene illumination information based on a game engine, and generating initial illumination data; carrying out heterogeneous light source data fusion processing to generate integrated illumination data; performing multi-dimensional illumination attribute clustering analysis and feature extraction to generate illumination feature data; performing scene region division processing, and constructing region illumination feature data; performing regional material-illumination interaction feature analysis to obtain interaction feature data; performing illumination propagation characteristic analysis to generate propagation characteristic data; designing a region rendering priority prediction engine; transmitting the feature data in real time to perform rendering demand intelligent analysis; performing global instant light color rendering adaptive decision analysis to form a rendering decision; adjusting the initial illumination data according to the decision, and executing instant light color rendering of the game scene; and the visual expressive force and the rendering performance of the game are greatly improved.

The invention discloses a dynamic switching method and system for game display pictures based on user feedback, and relates to the technical field of game display pictures. A plurality of sub-switching items are formed according to division of switching information; and the dynamic switching mechanism is determined according to the plurality of sub-switching items, the game content displayed by the game display interface and the virtual scene of the game, so that the accuracy of the dynamic switching mechanism is ensured. At the moment, under the dynamic switching mechanism, a final virtual scene is determined based on a plurality of virtual scenes of the game, preference characteristics of the user for the game and gesture signals of the user; according to the final virtual scene, the game content displayed by the game display interface and the virtual form of the user, the switched game display interface is determined so that the switched game display interface can be output, and dynamic switching of the game display interface under the feedback information of the user is achieved.

A gaming system includes a main display configured to display a wagering game comprising a plurality of virtual spinnable reels having a plurality of adjacent game symbol positions. A game controller is communicatively coupled to the display, and a computer-readable storage medium. The game controller is configured to initiate a first round of play of a base game causing a simulated spinning of the spinnable reels, change the base game to a metamorphic reel game based on a triggering condition of a special symbol landing on a stopped reel. At least one morphed reel is created from at least two of the spinnable reels. At least one reel is replaced with the morphed reel in the metamorphic reel game. A game outcome is determined based on paytable and a reduced number of reels that includes the morphed reel. Credit is awarded to the player based on the game outcome.

The invention relates to the technical field of multi-virtual power plant optimization scheduling, and discloses a multi-virtual power plant mixed game optimization method and system considering wind and light uncertainty, and the method comprises the steps: building a joint model combining a master-slave game with a cooperative game based on the game relation of a power grid operator and a virtual power plant alliance; aiming at the output uncertainty of the wind and light generator set, through a data-driven two-stage distributed robust optimization method, a typical wind and light generator set output scene is selected, a discrete scene distribution value is calculated, the probability distribution of the wind and light generator set output scene is calculated in combination with historical data and a confidence coefficient formula, and a wind and light uncertainty probability model is constructed; based on the joint model and the wind-solar uncertainty probability model, the total cost and carbon emission of the virtual power plant alliance are reduced through collaborative optimization scheduling. According to the invention, the responsiveness to the carbon trading market is enhanced, and powerful support is provided for promoting low-carbon transformation and realizing the purposes of energy conservation and emission reduction.

A computer-implemented method and scoring apparatus are disclosed and the method include program code executing on one or more processors receiving a command to initiate scoring of a game and identifying that users are engaged in the game based on obtaining vocal identifiers from each user of the users. The program code continuously determines a score for the game based on obtaining vocal commands from user and displays the score on a visual interface.

A method may include receiving data for a game, the data comprising at least one of tracking data or event data. The method may include determining an occurrence of a trigger event within the game based on the data for the game. The method may include providing the data for the game and the occurrence of the trigger event to a first machine learning (ML) model, where the first ML model is trained to generate a graphic based on the data for the game and the occurrence of the trigger event. The method may include receiving, from the first ML model, the graphic, and generating a visual element including the graphic for presentation within a user interface. The visual element may be configured to include an interactive element or be positioned adjacent to the interactive element within the user interface.

The systems and processes described herein can provide dynamic and realistic route generation based on actual route data within the game environment. The system provides for generating a route database for use with a sports simulation game application. The present disclosure also provides for generation of routes during runtime of the game application. The route generation system can help address the problem of generating realistic and lifelike routes based on real life movements of athletes.

The invention provides an in-game advertisement putting method and device, electronic equipment and a storage medium, and relates to the technical field of machine learning. The method comprises the following steps: collecting game behavior data and advertisement interaction data of a game user and equipment feature data of user equipment; creating a heterogeneous graph based on the game behavior data, the advertisement interaction data and the equipment feature data, and training the heterogeneous graph based on a graph neural network to obtain a cross-modal association model; determining a target advertisement for the game user based on the cross-modal association model; determining an immersion coefficient of the game user based on the game behavior data, and evaluating the advertisement value of the target advertisement based on the immersion coefficient; and determining an advertisement putting strategy of the target advertisement based on the advertisement value, and pushing the target advertisement to the game user based on the advertisement putting strategy. According to the invention, cross-modal feature fusion is carried out on the multi-source data and the advertisement value is evaluated, so that the advertisement putting strategy can be dynamically adjusted, and the accuracy and effect of advertisement putting are improved.

A micro-grid optimization operation strategy based on risk management and mixed game comprises the following steps: establishing a multi-main-body system framework of a micro-grid containing a plurality of wind and light users, a shared energy storage network and a power distribution network, and analyzing a micro-grid benefit model based on a conditional value-at-risk theory to balance economic benefits and value-at-risk; on the basis of a master-slave game, a proper-alliance-oriented decision-making thought is fused, a master-slave alliance interaction model with the benefit maximization of an upper-layer micro-grid and a lower-layer user alliance as a target is constructed, and a multi-user electric energy sharing cooperative game model is established based on an asymmetric Nash bargaining theory; an improved differential evolution algorithm is adopted to solve the master-slave Litishan game interaction model, and the cooperative game benefit distribution problem is solved in a distributed mode through ADMM, so that the optimal solution of the multi-user electric energy sharing cooperative game model is obtained, namely, the optimal microgrid optimization operation strategy is obtained. According to the strategy, economic benefits of the microgrid and the user alliance are effectively considered, and fair distribution of cooperation benefits is realized on the premise of protecting user privacy.

An electronic gaming machine (“EGM”), configured to provide a wagering game, can include processing circuitry and memory coupled to the processing circuitry. The memory can have instructions stored therein that are executable by the processing circuitry to cause the EGM to perform operations. The operations can include receiving user input indicating an identifier of a non-gaming purchase. The operations can further include verifying the non-gaming purchase based on the identifier of the non-gaming purchase. The operations can further include, responsive to verifying the non-gaming purchase, providing a gaming award associated with the wagering game based on the non-gaming purchase.

A non-fungible token (NFT) platform operates by: receiving character attribute selection data to be associated with a game character that indicates a subset of a set of character attributes of a character attribute database; generating, based on the character attribute selection data, display data associated with the game character; generating game character data that includes the display data and performance data to be associated with actions of the game character in a game and a persona associated with the game character; facilitating generation of a player token NFT associated with the game character, wherein the player token NFT is stored on a blockchain via a decentralized computer system; facilitating play of the game utilizing the game character;10 receiving update data associated with the game character responsive to the play of the game utilizing the game character; and updating the player token NFT based on the update data.

The embodiment of the invention provides a game role behavior control method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a plurality of time sequence paths generated based on interaction points in a game scene, wherein the interaction points are scene components for game roles to interact; determining the strategy value and access feasibility of each interaction point on each time sequence path; based on the strategy value of the interaction point, determining the overall strategy value of each time sequence path; determining a target time sequence path and an interaction point access time sequence on the target time sequence path based on the overall strategy value of the time sequence path and the access feasibility of each interaction point; and controlling the game role to access the time sequence to execute the target behavior based on the target time sequence path and the interaction point on the path. Through overall strategy value evaluation of a time sequence path, the problem of short view or stiffness of an AI decision in the prior art is solved, so that an AI role can select an optimal path based on long-term benefits; meanwhile, through dynamic calculation of access feasibility, decision failure caused by infeasible paths is avoided, and the real-time adaptability and simulation degree of AI behaviors are improved.

The invention provides a long-time reference frame selection and updating method, device and equipment based on rendering scene state driving and a storage medium. The implementation method comprises the following steps: acquiring rendering scene state information from a game rendering engine; inputting the rendering scene state information into a rendering scene information processing module; the rendering scene information processing module generates a long-time reference frame control command matched with the format of the video encoder; and the video encoder executes the long-time reference frame control command for encoding. Through a long-time reference frame selection mechanism based on semantic driving, an encoder can receive a long-time reference frame decision command made based on game engine scene state information in real time, long-time reference frame judgment based on semantics is achieved, long-time reference frame judgment of the encoder based on image pixels is avoided, and the accuracy of the long-time reference frame judgment is improved. And the long-time reference frame selection speed and accuracy are improved. When it is detected that the scene is unloaded by the game engine, the system can automatically clear the corresponding LTR reference frame set, and wrong reference to old frames is avoided.

Embodiments of the present disclosure enable system(s) and method(s) for creating and deploying an electronic skill-based activity, including implementing a matchup tool to determine a projected performance score for participants in real-world events based at least in part on historical performance data of each participant. The matchup tool creates suggested matchups for inclusion in a skill-based game by selecting, for each suggested matchup, at least two components, formed from one or more participants, expected to produce substantially similar scores in the skill-based game based on the projected performance score of each participant. The matchup tool renders for display to a game operator the suggested matchups to enable the game operator to interactively select suggested matchups for inclusion within the skill-based game. The matchup tool transmits the selected matchup to presentation devices of users to enable the users to interactively select components as predicted winning components of the skill-based game.

An electronic gaming system including a processor and a memory is described. The processor is configured to receive a first input amount for a play of an electronic game displayed in a first display area, receive a second input amount for a play of a side electronic game displayed in a second display area, select a first bingo card for the play of the electronic game, select a second bingo card for the play of the side electronic game, determine an outcome for the electronic game based upon a ball call and the first bingo card, determine an outcome for the side electronic game based upon the ball call and the second bingo card, and cause display of the outcome for the electronic game in the first display area and the outcome for the side electronic game in the second display area.

The invention relates to an underwater multi-AUV (Autonomous Underwater Vehicle) attack and defense game method based on deep reinforcement learning under imperfect information, and the method comprises the steps: firstly, carrying out an attack and defense game based on multi-AUV cooperation under an incomplete information condition of a marine environment; secondly, considering underwater noise interference, and establishing an underwater environment model; then, AUV dynamics and a six-degree-of-freedom equation are established; and then, setting a mixed mode of underwater acoustic communication and short-distance optical communication in the AUV cluster, based on an MADDPG method, improving an experience playback mechanism, optimizing a reward function, and establishing a learning framework based on an Actor-Critic structure, thereby solving the game problem under imperfect information. According to the method, the intelligence, informatization and unmanned operation of ocean protection can be effectively improved, and a theoretical foundation is laid for underwater applications such as underwater acoustic engineering protection and sea battlefield combat.

The invention discloses a virtual power plant optimal scheduling method based on a two-stage dynamic game, which is used for solving the problems that the current related technology has insufficient attention on a carbon transaction and power market cooperation mechanism and lacks modeling for interaction of supply and demand parties under the dynamic game, so that the carbon emission reduction effect and economic benefit are difficult to balance, and the scheduling efficiency is poor. And the sustainability of the scheduling strategy is insufficient. The method comprises the following steps: acquiring gas consumption data and energy storage charging and discharging data of a virtual power plant; constructing a gas turbine power output model based on the gas consumption data, and constructing an energy storage battery operation model based on the energy storage charging and discharging data; in combination with system standby constraints, introducing a sectional excitation type carbon emission mechanism, and constructing a constraint model containing carbon emission; based on a gas turbine power output model, an energy storage battery operation model and a carbon-containing emission constraint model, constructing a scheduling balance optimization model based on a two-stage dynamic game; and carrying out optimization solution on the scheduling balance optimization model to obtain an optimized scheduling result of the virtual power plant.

An electronic gaming system includes a display device and a game controller in communication with the display device. The game controller includes a processor and a memory storing instructions that, when executed by the processor, cause the game controller to: determine that a bonus game including display of pick icons is triggered based on a game outcome; activate a metamorphic for the bonus game based on the game outcome, the activated metamorphic being associated with a pick feature enhancement for the bonus game; cause display of a visual indication of the activated metamorphic; initiate a play of the bonus game and apply the pick feature enhancement associated with the activated metamorphic thereto; receive a selection of one of the pick icons during the play of the bonus game; and cause display of an award associated with the selected pick icon and determined based on the applied pick feature enhancement.