
DEVELOPMENT OF AUTONOMOUS GAME AGENT WITH LEARNING AND REACTIVE BEHAVIORS
Author(s) -
T. Deepa
Publication year - 2017
Publication title -
international journal of research - granthaalayah
Language(s) - English
Resource type - Journals
eISSN - 2394-3629
pISSN - 2350-0530
DOI - 10.29121/granthaalayah.v5.i4racsit.2017.3360
Subject(s) - computer science , selection (genetic algorithm) , obstacle avoidance , autonomous agent , artificial intelligence , obstacle , human–computer interaction , robot , mobile robot , political science , law
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.