Towards Large-Scale Multi-Agent Based Rodent Simulation: The “Mice In A Box” Scenario
Some initial research concerning the provision of a Multi-Agent Based Simulation (MABS) frameworks, to support rodent simulation, is presented. The issues discussed include the representation of: (i) the environment and the characters that interact with the environment, (ii) the nature of the “intelligence” that these characters might posses and (iii) the mechanisms whereby characters interact with environments and each other. Two categories of character are identified: “dumb characters” and “smart characters”, the obvious distinction being that the first posses no intelligence while the second have at least some sort of reasoning capability. The focus of the discussion is the provision of a simple “mice in a box ” scenario simulation.
KeywordsEnvironment Agent Mouse Agent Finite State Machine Candidate Location Space Location
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- 1.P. Crowcroft. Mice All Over. The Chicago Zoological Society, 1973.Google Scholar
- 2.P. Davidsson. Multi agent based simulation: Beyond social simulation. In Proc. Workshop on Multi Agent Based Simulation (MABS) 2000, pages 141–155. Springer-Verlag, LNCS 1979, 2001.Google Scholar
- 3.P. Davidsson, J. Holmgren, J.A. Persson, and L. Ramstedt. Multi agent based simulation of transport chains. In Proc. 7th Int. Joint Conf. on Autonomous Agents and Multi-Agent Systems (AAMAS), Volume 2, pages 1153–1160. Springer-Verlag, LNAI 3415, 2008.Google Scholar
- 4.B. Georgeff, M.P. andPell, Pollack M.E., M. Tambe, and M. Wooldridge. The belief-desireintention model of agency. In Proc. 5th Int. Workshop on Intelligent Agents: Agent Theories, Architectures and Languages (ATAL’98), pages 1–10. Springer-Verlag, London, 1998.Google Scholar
- 5.A. Gill. Introduction to the Theory of Finite-state Machines. McGraw-Hill, 1962.Google Scholar
- 8.F. Wagner. Modeling Software with Finite State Machines: A Practical Approach. Auerbach Publicationsl, 2006.Google Scholar