Abstract
This paper presents the notion of multi-agent simulation that is based on the definition of computational agents that represent individual organisms (or groups of organisms) in a one to one correspondence. We discuss the properties of multi-agent simulation. We then present a multiagent simulation system based on the definition of reactive agents whose behavior is governed by the selection of simple competing tasks due to stimulus's perception. An example of a simulation of an ant colony follows as an illustration of the multiple domains in which multi-agent simulation may be used.
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Drogoul, A., Ferber, J. (1994). Multi-agent simulation as a tool for modeling societies: Application to social differentiation in ant colonies. In: Castelfranchi, C., Werner, E. (eds) Artificial Social Systems. MAAMAW 1992. Lecture Notes in Computer Science, vol 830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58266-5_1
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DOI: https://doi.org/10.1007/3-540-58266-5_1
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