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Aggregation and emergence in agent based models : a Markov chain approach

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We analyse the dynamics of agent-based models (ABMs) from a Markovian perspective and derive explicit statements about the possibility of linking a microscopic agent model to the dynamical processes of microscopic observables that are useful for a precise understanding of the model dynamics. In this way the dynamics of collective variables may be studied, and a description of macro dynamics as emergent properties of micro dynamics, in particular during transient times, is possible.

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Markov Chains Model Dynamics Microeconomics Macroeconomics

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Banisch, Sven, Ricardo Lima e Tanya Araújo. 2012. "Aggregation and emergence in agent based models : a Markov chain approach". Instituto Superior de Economia e Gestão. DE Working papers - nº 25-2012/DE/UECE

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