Markov Chain Aggregation for Agent-Based Models

Markov Chain Aggregation for Agent-Based Models

Banisch, Sven

Springer International Publishing AG

03/2018

195

Mole

Inglês

9783319796918

15 a 20 dias

454

Descrição não disponível.
Introduction.- Background and Concepts.- Agent-based Models as Markov Chains.- The Voter Model with Homogeneous Mixing.- From Network Symmetries to Markov Projections.- Application to the Contrarian Voter Model.- Information-Theoretic Measures for the Non-Markovian Case.- Overlapping Versus Non-Overlapping Generations.- Aggretion and Emergence: A Synthesis.- Conclusion.
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Agent-based Modelling;Contrarian Voter Model;Dynamics of Complex Systems;Lumpability and State-space Reduction;Markov Processes;Microscopic Markov Chains;Scaling of Complex Dynamical Systems;Voter-like Models;complexity