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Markov Chain Aggregation for Agent-Based Models
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Description for Markov Chain Aggregation for Agent-Based Models
Hardcover. Series: Understanding Complex Systems. Num Pages: 194 pages, 18 black & white illustrations, 65 colour illustrations, biography. BIC Classification: GPFC; PBWR; PHU. Category: (P) Professional & Vocational. Dimension: 235 x 155. .
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, one which makes use of lumpability and information theory in order to link the micro and macro levels of observation. The starting point is a microscopic Markov chain description of the dynamical process in complete correspondence with the dynamical behavior of the agent-based model (ABM), which is obtained by considering the set of all possible agent ... Read more
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, one which makes use of lumpability and information theory in order to link the micro and macro levels of observation. The starting point is a microscopic Markov chain description of the dynamical process in complete correspondence with the dynamical behavior of the agent-based model (ABM), which is obtained by considering the set of all possible agent ... Read more
Product Details
Format
Hardback
Publication date
2015
Publisher
Springer International Publishing AG Switzerland
Number of pages
194
Condition
New
Series
Understanding Complex Systems
Number of Pages
195
Place of Publication
Cham, Switzerland
ISBN
9783319248752
SKU
V9783319248752
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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