Game Agent Communication Prediction Model for Cooperative Play
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Solution Overview
Problem
Current game AIs lack the ability to communicate effectively with human players, hindering cooperative gameplay and limiting the overall gaming experience.
Innovation Solution
A game interactive control method and apparatus that acquire game state and communication information, determine the game intention of an agent, and input this information into a communication prediction model to generate target communication content, enabling the agent to convey its intentions to the player and improve cooperative gameplay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If game AI is designed to achieve high competitive capability, then the AI can reach the level of top human players, but the AI lacks communication ability with human players, causing players to fail to cooperate
Solution Approach 1:
The system divides the AI's functionality into separate modules: a competitive play module that handles game strategies and actions, and a communication module that generates verbal or text-based interactions. This segmentation allows each module to be optimized independently - the play module maintains high competitive capability while the communication module develops specialized communication skills, resolving the contradiction between these two requirements.
Solution Approach 2:
The system introduces a communication prediction model as an intermediary component that processes game state information and generates appropriate communication content. This intermediary layer bridges the gap between the AI's competitive actions and human player expectations, enabling the AI to convey its intentions and strategies to players, thereby improving cooperation while maintaining competitive strength.
2Adaptability or versatility
If game AI communicates effectively with human players, then cooperation is improved, but the system complexity increases due to additional communication processing components
Solution Approach 1:
The communication prediction model is designed to serve multiple functions simultaneously: it processes game state information, predicts player intentions, generates communication content, and adjusts communication style based on the game situation. By making this single component multi-functional, the system achieves effective communication without proportionally increasing overall system complexity, as one component handles multiple tasks rather than requiring separate dedicated systems for each function.
3Adaptability or versatility
If the AI determines game intention and generates communication content based on game state information, then player understanding and cooperation improve, but the computational processing time increases
Solution Approach 1:
The system performs preliminary processing of game state information and pre-calculates communication strategies during game events that do not directly impact immediate player decisions. By preparing communication content in advance based on predicted game intentions and states, the system reduces real-time computational burden, allowing for more sophisticated intention analysis and communication generation without proportionally increasing processing time during critical game moments.
Data Source
AI summary
The present disclosure relates to a game interactive control method and apparatus, a storage medium and an electronic device, and relates to the technical field of computers. According to the method, by determining the game intention of the agent according to the game state information, and inputting the game state information, the game communication information and the game intention into the communication prediction model, the target communication content corresponding to the agent is obtained, and then the target communication content is outputted, so that the player character determines a game action to be executed by the agent based on the target communication content. This can not only improve the gaming activity when the real player is battling against the agent, but also enable the real player to know the game intention of the agent so as to cooperate with the agent and improve the gaming quality.