Social Simulation: Technologies, Advances and New Discoveries: Technologies, Advances and New Discoveries

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Edmonds, Bruce
IGI Global, Aug 31, 2007 - Computers - 402 pages
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The simulation of social behavior in a variety of domains is an increasingly important technological tool.

A reference survey of social simulation work, Social Simulation: Technologies, Advances and New Discoveries comprehensively collects the most exciting developments in the field. Drawing research contributions from a vibrant community of experts on social simulation, this Premier Reference Source provides a set of unique and innovative approaches, ranging from agent-based modeling to empirically based simulations, as well as applications in business, governmental, scientific, and other contexts. This book will be a significant reference tool for researchers, educators, and practitioners in such fields as sociology, geography, economics, environmental science, artificial intelligence, machine learning, computer engineering, and networks, and a valuable, interdisciplinary addition to academic libraries.

 

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Contents

Fairness Commitment and Inequality
1
Taxpayer Compliance Simulation A MultiAgent Based Approach
13
Cooperation as the Outcome of a Social Differentiation Process in Metamimetic Games
26
Probability Distribution Dynamics Explaining Agent Model Convergence to Extremism
43
Artificial Science A Simulation to Study the Social Processes of Science
61
Understanding Tag Systems by Comparing Tag Models
68
Effects of Land Markets on Competition Between Innovators and Imitators in Land Use Results from FEARLUSELMM
81
Introducing Social Issues into a Minority Game by Using an Agent Based Model
98
Intergovernmental Negotiations Peer Coordination in Intergovernmental Policy Networks
192
Regional Policy Hints from Heterogeneous Agents Simulation
207
Analyzing the Influences of Passive Investment Strategies on Financial Markets via AgentBased Modeling
224
Exploring the Effects of Campaigning Strategies for the Organisation of Collective Action Using Empirical Data
239
Examining the Myth of Money with AgentBased Modell
252
The Participant and ExperimentallyOriented
264
Friends and Buffaloes One Game Two Modelling Processes
265
The Evolution of Coworker Networks An Experimental and Computational Approach
280

Probabalistic Inference for Actor Centered Models
115
Learning to be Altruistic
126
Modelling of Water Use Decisions in a Large Spacially Explicit Coupled Simulation System
138
The EmpiricallyOriented
150
Mechanisms of Automated Formation and Evolution of SocialGroups A MultiAgent System to Model the IntraUrban Mobilities of Bogotá City
151
The Role of Risk Aversion and Technical Trading in the Behaviour of Financial Markets
169
Emissions Permits Auctions An Agent Based Model Analysis
180
Modelling Knowledge Production and Integration in Working Environments
294
Stress and Expectation in DoubleAuction Market Simulations to Study Models Deduced from Experimental Economics
311
Stakeholder Participation in Investigating the Impact of ECommerce Upon the Value Chain
323
Compilation of References
342
About the Contributors
364
Index
374
Copyright

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About the author (2007)

Bruce Edmonds is Director of the Centre for Policy Modelling at the Manchester Metropolitan University, and a Senior Research Fellow there. He gained his first degree in Mathematics and his Ph.D. in philosophy on Measures of complexity. His field is the intersection of sociology and computer science: both applying social mechanisms to the organisation of distributed computer science and the use of computational techniques to model aspects of society. For more information about him, see his Web site at http://bruce.edmonds.name

Klaus G. Troitzsch has been a full professor of computer applications in the social sciences at the University of Koblenz-Landau since 1986. He took his PhD in political science from the University of Hamburg. From 1974 to 1978 he was a member of the Liberal Party Group in the Parliament of Hamburg. In 1979 he returned to academia as a senior researcher in an election research project. His main interests in teaching and research are social science methodology and, particularly, the simulation of social processes. He was among the founders of the Research Committee on Modelling and Simulation of the German Sociological Association (1988), of the SimSoc Consortium, which publishes the Journal of Artificial Societies and Social Simulation (JASSS, now in its tenth year), and of the European Social Simulation Association (ESSA). Most of his research projects were devoted to developing simulation tools for micro, multilevel, and agent-based simulation or to implement simulation courses for social scientists, part of which have been offered in annual summer and spring courses for nearly ten years. He is author, co-author, and co-editor of a number of books and articles on simulation, and he organized several national and international conferences in social simulation.

Cesáreo Hernández Iglesias is Professor of Business and Economics (B&E) and head of the Business and Economics Department at the University of Valladolid, Spain. He graduated from the University of Barcelona in Industrial Engineering (1970) and Economics (1974). He obtained his Ph.D. in 1975 on applications of Control Theory to Econometrics. He initially worked in time series analysis in econometric modelling as a postgraduate at the L.S.E. and Imperial College in London from 1971-74. His current research interests within the INSISOC Group (Engineering Social Systems Group) include economic methodology and social simulation. [Editor]

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