Simulating a system of agents that navigate in a physical space is a challenging problem when the environment is sophisticated and the number of agents involved is large. We describe experiments in establishing a ``virtual Prolog engine'' in each agent in a simulation and the scalability and performance issues with such an approach. We report on experiments with a simple predator-prey animat model and discuss how this approach allows us to impart a degree of reasoning and intelligence to what are otherwise very simple animat agents.
Keywords: animat agents; beliefs, desires and intentions; physical navigation and reasoning.
Full Document Text: PDF version.
Citation Information: in Proc. of AI 2005, Sydney, December 2005.
BiBTeX reference:
@inproceedings{CSTN-022,
Address = {Sydney, Australia},
Author = {K. A. Hawick, H. A. James and C.J.Scogings},
Booktitle = {AI 2005: Advances in Artificial Intelligence - Proc 18th Australian Joint Conference on Artificial Intelligence},
Month = {December},
Number= {LNAI 3809},
Publisher={Springer},
Editor= {Shichao Zhang and Ray Jarvis},
Title = {A Virtual Prolog Approach to Implementing Beliefs, Desires and Intentions in Animat Agents},
Year = {2005},
Note = {ISSN 0302-9743, ISBN 3-540-30462-2},
series = "CSTN-022"
}
K.A.Hawick, H.A.James and C.J.Scogings, A Virtual Prolog Approach to Implementing Beliefs, Desires and Intentions in Animat Agents, in S. Zhang and R. Jarvis (Eds), Proc. 18th Australian Joint Conference on Artificial Intelligence (AI 2005), LNAI 3809, Sydney, December 2005 and Technical Note CSTN-022.