Agent-Based Computational Modelling: Applications in Demography, Social, Economic and Environmental Sciences

by Francesco C. Billari (Editor), Thomas Fent (Editor), Alexia Prskawetz (Editor), Jürgen Scheffran (Editor)

Overview

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.

Product Details

ISBN-13:	9783790816402
Publisher:	Physica-Verlag HD
Publication date:	04/11/2006
Series:	Contributions to Economics
Edition description:	2006
Pages:	226
Product dimensions:	6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

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.

Editorial Reviews

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)

From the Publisher