Adaptive intelligent agents based on efficient behaviour differentiation models
Mario Góngora, David Irvine · 2010
This paper describes our novel methodology for the creation of efficient AI based Agents capable of adapting. We use AI concepts established and used in the implementation of character behaviour for games, such as the Belief-Desire-Intention model and Finite State Machines. A discussion on their role in efficient agent behaviour encoding is presented. We then suggest a novel differentiated combination of these techniques to enable the process of self-adaptation for intelligent agents used to represent characters in virtual environments.