ADAPTIVE BEHAVIOUR OF SOFTWARE AGENTS IN MULTI-AGENT COMPUTER GAME

Abstract

The paper consider multi-agent games, their structure, software presentation of agents. Games present different genres, have different rules and structure of the world. As examples of use of games as a platform for the study of artificial intelligence, agents are considered with the use of search algorithms path and learner agents. Algorithm A* and Lee algorithm were taken as path search algorithms. To implement learner agents machine-learning techniques were selected such as reinforcement learning and artificial neural network taught by a genetic algorithm.

Keywords

• artificial intelligence
• computer games
• agent-oriented approach
• search path
• machine learning