A neuro-fuzzy method of agent behavior and action selection based on priority/probability modelling

Abstract

One of the most important aspects of agent design in Al is the way agent acts or responds to the environment that the agent is acting upon. An effective action selection and behavioral method gives a powerful advantage in overall agent performance. We define a new method of action selection based on probability/priority models, we thereby introduce an efficient way to determine probabilities and a new priority based system which maps the human knowledge to action selec tion method. Furthermore, a behavior model is introduced to make the model more flexible. Copyright © IICAI 2005.