Markov Chain Aggregation for Agent-Based Models

This self-contained text develops a Markov chain approach that makes the rigorous analysis of a class of microscopic models that specify the dynamics of complex systems at the individual level possible. It presents a general framework of aggregation in agent-based and related computational models, o...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Banisch, Sven (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Understanding Complex Systems,
Temas:
Nonlinear Optics.
System theory.
Mathematical physics.
Dynamics.
Nonlinear theories.
Complex Systems.
Mathematical Methods in Physics.
Applied Dynamical Systems.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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