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Agent-Based Computational Modelling: Contributions to Economics

Editat de Francesco C. Billari, Thomas Fent, Alexia Prskawetz, Jürgen Scheffran
en Limba Engleză Paperback – 13 mar 2006

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Specificații

ISBN-13: 9783790816402
ISBN-10: 379081640X
Pagini: 240
Ilustrații: X, 226 p. 95 illus.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.37 kg
Ediția:2006
Editura: Physica
Colecția Contributions to Economics
Seria Contributions to Economics

Locul publicării:Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Recenzii

From the reviews:
"Presenting and combining different approaches, the aim of the book is to describe the motivation for setting-up agent-based models and for studying emerging patterns in complex adaptive systems. … is well written and contains much useful information for scholars not familiar with agent-based modelling." (Petra Ahrweiler, Journal of Artificial Societies and Social Simulation, April, 2007)

Textul de pe ultima copertă

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.