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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| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edition: | 1st ed. 2016. |
| Series: | Understanding Complex Systems,
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| Online Access: | https://doi.org/10.1007/978-3-319-24877-6 |
Table of Contents:
- 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.