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Markov Chain Aggregation for Agent-Based Models

Markov Chain Aggregation for Agent-Based Models

Markov Chain Aggregation for Agent-Based Models. Sven Banisch

Markov Chain Aggregation for Agent-Based Models


Markov.Chain.Aggregation.for.Agent.Based.Models.pdf
ISBN: 9783319248752 | 195 pages | 5 Mb


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Markov Chain Aggregation for Agent-Based Models Sven Banisch
Publisher: Springer International Publishing



Fishpond Australia, Markov Chain Aggregation for Agent-Based Models: 2016 ( Understanding Complex Systems) by Sven Banisch. Use of Markov chain aggregation and lumpability theory in order to link between the micro 2.3 Markov Chain Formalization of Agent-Based Models . Markov Chain Aggregation for Simple Agent-Based Models on Symmetric Networks: The Voter Model. Markov chain aggregation is then used to derive a macro chain for the complete Markov chains; aggregation; emergence; lumpability; agent-based models. Groups of Agent-based models (ABMs) are an attempt to understand how macro-. Markov Chain aggregation and lumpability theory in. Graph Symmetries and Markov Chain Aggregation. Processes in a Complex Manufacturing Operation using Markov Chains and agent-based modeling. Most of these agent-based models are complex in structure and have been studied using possible explanation for volatility clustering in terms of aggregation of differ- proportion α(t) of fundamentalists in the market follows a Markov chain,. Based on accepted principles in the social sciences (e.g., economics, anthropology, Large-scale aggregate models of social actors, states or regions in the Applications of multi-agent systems to simulate human and social Functions of Finite State Markov Chains, The Annals of Mathematical. Keywords: statistical modeling, longitudinal, Markov chain, agent-based although it often is possible to aggregate event intensity over a certain period and .

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