Abstract
Recent research discussed several approaches to understand the relation between microscopic agent behavior and macroscopic multi–agent system (MAS) behavior. A structured methodology to derive these models will have impact on MAS design, evaluation and debugging. Current results have established the description of macroscopic behavior, including cooperation, by Rate Equations derived from markovian agent–states transitions. Emergent phenomena elude these descriptions. In this paper, we argue that mesoscopic modeling is needed to provide appropriate descriptions of emergent system behavior. The mesoscopic agent states reflect the emergent behavior and allow for a deliberative implementation of the rules and conditions which cause the MAS to self–organize as wanted. In a case study, we construct such a mesoscopic model for the socio-economic inspired Minority Game. The mesoscopic description leads us to a deliberative implementation, which exhibits equivalent self–organizing behavior, confirming our results.
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Renz, W., Sudeikat, J. (2006). Mesoscopic Modeling of Emergent Behavior – A Self-organizing Deliberative Minority Game. In: Brueckner, S.A., Di Marzo Serugendo, G., Hales, D., Zambonelli, F. (eds) Engineering Self-Organising Systems. ESOA 2005. Lecture Notes in Computer Science(), vol 3910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11734697_13
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DOI: https://doi.org/10.1007/11734697_13
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