Agent-Based Computational Modelling : Applications in Demography, Social, Economic and Environmental Sciences /
Contributor(s): Billari, Francesco C [editor.] | Fent, Thomas [editor.] | Prskawetz, Alexia [editor.] | Scheffran, Jürgen [editor.] | SpringerLink (Online service).
Material type: BookSeries: Contributions to Economics: Publisher: Heidelberg : Physica-Verlag HD, 2006.Description: X, 226 p. 95 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783790817218.Subject(s): Computer simulation | Economics | Management science | Population | Environmental economics | Social sciences | Demography | Economics | Economics, general | Population Economics | Methodology of the Social Sciences | Demography | Simulation and Modeling | Environmental EconomicsDDC classification: 330 Online resources: Click here to access onlineItem type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books | PK Kelkar Library, IIT Kanpur | Available | EBK5775 |
Microsimulation of household cycles -- Agent-Based Computational Modelling: An Introduction -- Socio-Economics -- Agent-Based Modelling — A Methodology for the Analysis of Qualitative Development Processes -- On the Analysis of Asymmetric Directed Communication Structures in Electronic Election Markets -- Population and Demography -- The Role of Assortative Mating on Population Growth in Contemporary Developed Societies -- An Agent-Based Simulation Model of Age-at-Marriage Norms -- The Strength of Social Interactions and Obesity among Women -- Ecology and Environment -- Agent-Based Models in Ecology: Patterns and Alternative Theories of Adaptive Behaviour -- Agent-Based Modelling of Self-Organisation Processes to Support Adaptive Forest Management -- Vampire Bats & The Micro-Macro Link -- General Aspects -- How Are Physical and Social Spaces Related? — Cognitive Agents as the Necessary “Glue” -- Agent Design for Agent-Based Modelling.
The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.
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