Development of Autonomous Game Agent with Learning and Reactive Behaviors

The main goal of this paper is to develop software agent which is autonomous with reactive behavior and learning abilities. One of the applications of such agents are in gaming. Gaming characters are expected to work in unpredictable environment with decision making capabilities like weapon selection for different targets, wall following. This can be achieved artificial intelligence (AI) techniques and methods. In this paper, agent is designed to exhibit capabilities like Moving Abilities, Steering behavior and obstacle avoidance, Synthesis of movement enhancing movement, weapon selection, adapting defense strategies, strategic Decision making.