Abstract
This paper presents a behavioral system based on artiticial life paradigms. The system, called αCS, is suited to be employed for the animation of virtual entities immersed in concurrent and changing environments. The αCS system is the extension of an original classifier system to collaborative abilities. The main modifications enable αCS to use cooperation and communication to build dynamically the behavior of virtual entities which goal is to achieve several tasks. Our classifier system is evaluated by the way of two applications. Firstly, we present the performances of αCS in an optimization problem consisting on following a moving target. Secondly, we investigate a complex 3D world where autonomous entities and avatars interact. Through the simulation of a virtual game, we show how the integration of our system in virtual entities enables to build evolving behaviors thanks to adaptation, communication and auto-organization.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Blumberg B., Galyean T., “Multi-Level. Direction of Autonomous Creatures for Real-Time Virtual Environment”. Proceedings of Siggraph 95. Computer Graphics Proceedings. Aug 1995.
Butz M., Stolzmann W. “Action-Planning in Anticipatory Classifier”, IWLCS’ 99, Second International Workshop on Learning Classifier Systems, Orlando USA, 13 Juillet 1999.
Holland J. H., “Adaptation in Natural and Artificial Systems”, Ann Arbor, University of Michigan Press, 1975.
Holland J. H., “Adaptive Algorithms for Discovering and Using General Patterns in Growing Knowledge Bases”, International Journal for Policy Analysis and Informations Systems, Vol 4, No 3, pp 245–268, 1980.
Lattaud C., “Non-Homogeneous Classifier Systems in a Macro-Evolution Process”, IWLCS’ 99, Second International Workshop on Learning Classifier Systems, Orlando USA, 13 July 1999.
Mataric M.J., “Reward Functions for Accelerated Learning” in Machine Learning: Proceedings of the Eleventh International Conference, William W. Cohen and Haym Hirsh, eds., Morgan Kaufmann Publishers, San Francisco, CA, 1994.
Musse S.R., Kallmann M., Thalmann D., “Level of Autonomy for Virtual Human Agents”. Proceedings ECAL 99, 5th European Conference on Artificial Life. Lausanne, Switzerland. Sep 1999.
Panatier C., Luga H., Duthen Y., “Collective Learning for Spatial Collaboration”, SAB’ 98, From Animals to Animats 5, Zurich, Switzerland, August 1998.
Sanza C., Panatier C., Duthen Y., “Communication and Interaction with Learning Agents in Virtual Soccer”, VW’ 2000, 2nd International Conference on Virtual Worlds, Paris, France, Juillet 2000
Stolzmann W., “Anticipatory Classifier Systems”, Genetic Programming’ 98, Proceedings of the Third Annual Conference, Morgan Kaufmann p. 658–664, San Francisco, USA, 22-25 July 1998.
Wilson S.W., “Classifier Fitness Based on Accuracy”, Evolutionary Computation, Vol 3 (2), MIT Press, 1995.
http://www.sense8.com
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Wien
About this paper
Cite this paper
Sanza, C., Heguy, O., Duthen, Y. (2001). Evolution and Cooperation of Virtual Entities with Classifier Systems. In: Magnenat-Thalmann, N., Thalmann, D. (eds) Computer Animation and Simulation 2001. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6240-8_17
Download citation
DOI: https://doi.org/10.1007/978-3-7091-6240-8_17
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83711-5
Online ISBN: 978-3-7091-6240-8
eBook Packages: Springer Book Archive