Abstract
This paper compares a behaviour based architecture, and a plan based architecture for agents in multi-agent systems, with respect to the issue of robustness. The type of robustness investigated is stability of the systems as two aspects - unpredictability and rate of perception compared to speed of the environment - are modified. The comparison is done using a simulation scenario which was designed to be constrained, but to capture important qualities of the real world. The scenario was also chosen to have characteristics that could be favourable to both behaviour based and plan based paradigms. An analysis of the data collected for the two approaches provides strongly suggestive evidence that the planbased system is more robust than the behaviour based one in some ways. There is no indication of better robustness in the behaviour based system with respect to the aspects of robustness investigated.
This was due to lack of sufficient data and hardware problems which made it impos- sible to collect further data.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Philip E. Agre and David Chapman. Pengi: An implementation of a theory of activity. In Proceedings of AAAI-87, pages 268–272, 1987.
Philip E. Agre and David Chapman. What are plans for? Robotics and Autonomous Systems, 6:17–34, 1990.
Michael E. Bratman, David J. Israel, and Martha E. Pollack. Plans and resource bounded practical reasoning. Computational Intelligence, 4(4):349–355, 1988.
Rodney Brooks. A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation, 2(1):14–25, March 1986.
Alexis Drogoul. When ants play chess. In C. Castelfranchi and J.P. Müller, editors, From Reaction to Cognition, volume 957 of LNAI, pages 13–27. Springer-Verlag Berlin-Heidelberg, 1995.
R.James Firby. An investigation into reactive planning in complex domains. In Proceedings of AAAI-87, pages 202–206, July 1987.
M. Georgeff and F. Ingrand. Decision-making in an embedded reasoning system. In Proceedings of the 10th International Conference on Artificial Intelligence, pages 972–978, 1989.
Alexis Drogoul Jaques Ferber. Using reactive multi-agent systems in simulation and problem solving. In Distributed Artificial Intelligence: Theory and Praxis, pages 53–80. ECSC-EEC-EAEC, Bruxelles et Luxembourg, 1992.
David Kinny and Michael Georgeff. Commitment and effectiveness of situatedagents. In Proceedings of the 12th International Conference on Artificial Intelligence, pages 82–88, Melbourne, Australia, 1991.
Pattie Maes. Modelling adaptive autonomous agents. In Christopher G. Langton, editor, Artificial Life: An Overview. MIT Press, Cambridge, 1995.
Lin Padgham and Guy Taylor. Pac-personality and cognition: an interactive system for modelling agent scenarios. In Proceedings of the 15th International Conference on Artificial Intelligence, Tokyo, Japan, 1997.
Craig Reynolds. Flocks, herds and schools: A distributed behavioural model. In Proceedings of SIGGRAPH, pages 25–34, 1987.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kashmirian, J., Padgham, L. (2000). Relative Robustness: An Empirical Investigation of Behaviour Based and Plan Based Paradigms as Environmental Conditions Change. In: RaÅ›, Z.W., Ohsuga, S. (eds) Foundations of Intelligent Systems. ISMIS 2000. Lecture Notes in Computer Science(), vol 1932. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39963-1_22
Download citation
DOI: https://doi.org/10.1007/3-540-39963-1_22
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41094-2
Online ISBN: 978-3-540-39963-6
eBook Packages: Computer ScienceComputer Science (R0)