Computational Social Science

Four-Volume Set
ISBN: 978-1-84787-171-8
Verlag: Sage Publications

Buch, Englisch, 1664 Seiten, Format (B × H): 172 mm x 249 mm, Gewicht: 3183 g

Reihe: SAGE Benchmarks in Social Research Methods

Computational social science is an approach increasingly influential in a broad range of social sciences. It involves building a computer programme model that represents a theory and then 'executing' the programme and observing the output as a way of validating the theory, making predictions about the social world or exploring the implications of social interventions. Computational social science has been proposed as a 'third way', standing beside quantitative mathematical and formal approaches and qualitative, interpretative approaches. Computational methods have been used in fields as diverse as political science and environmental resource management. They are becoming popular in some areas of economics; in science and innovation policy; in social psychology; in voting and opinion studies; in marketing and consumer behaviour and in anthropology. This four volume set republishes the key articles in the emerging field of computational social science. Because of the widespread use of computational approaches throughout the social sciences, the literature is very widely dispersed. Many papers are of interest far outside their original disciplines, because of the methods they use and the theories they develop have broad ranging application. Some of the literature is hard to locate, published in conference proceedings and edited collections without a wide circulation. Nigel Gilbert has brought together this disparate literature within a logical and coherent framework and contextualized his selection with a 6,500 word introduction.

Autoren/Hrsg.

Gilbert, Nigel

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik

Inhaltsverzeichnis

VOLUME 1
Introduction
Why Agents? On the varied motivations for agent computing in the social sciences - Robert L. Axtell
On Generating Hypotheses Using Computer Simulations - Kathleen M. Carley
The Computer as a Laboratory - John L. Casti
Learning to Speculate: Experiments with artificial and real agents - John Duffy
Agent-Based Computational Models and Generative Social Science - Joshua M. Epstein
Seeing Around Corners - J. Rauch
Precursors and Early Work
A Computer Simulation of Community Referendum Controversies - Robert P. Abelson and Alex Bernstein
A Monte Carlo Approach to Diffusion - T. Hagerstrand
Flocks, Herds, and Schools: A distributed behavioral model - Craig W. Reynolds
The Checkerboard Model of Social Interaction - J.M. Sakoda
Dynamic Models of Segregation - T.C. Schelling
Negotiation as a Metaphor for Distributed Problem Solving - R.G. Smith and R. Davis
Agent-based Computational Economics
Auctions with Artificial Adaptive Agents - James Andreoni and John H. Miller
Competing Technologies, Increasing Returns, and Lock-In by Historical Events - W. Brian Arthur
Why Are We Simulating Anyway? Some answers from economics - E. Chattoe
The Emergence of Economic Classes in an Agent-Based Bargaining Model - Joshua M. Epstein, Robert L. Axtell and P. Young
Artificial Adaptive Agents in Economic Theory - John H. Holland and John H. Miller
Evolving Market Structure: An ACE model of price dispersion and loyalty - Alan P. Kirman and Nicolaas J. Vriend
Artificial Worlds and Economics, Part II - David A. Lane
Modeling Macroeconomies as Open-Ended Dynamic Systems of Interacting Agents - L. LeBaron and L. Tesfatsion
Why are Economists Sceptical about Agent-based Simulations? - Roberto Leombruni and Matteo Richiardi
Agent-Based Modelling - A Methodology for the Analysis of Qualitative Development Processes - Andreas Pyka and Thomas Grebel
VOLUME 2
Modelling Sociality
Symbolic Interactionist Modeling: The coevolution of symbols and institutions - D.V. Duong
Modeling Sociality: The view from Europe - Nigel Gilbert
The Emergence of Computational Sociology - N.P. Hummon and T.J. Fararo
From Factors to Actors: Computational sociology and agent-based modeling - Michael M. Macy and Robert Willer
Exploration and Exploitation in Organizational Learning - James G. March
Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A review - Dawn C. Parker, Steven Manson, Marco A. Janssen, Matthew J. Hoffmann and Peter Deadman
Multi-Agent Dependence by Dependence Graphs - Jaime S. Sichman and Rosario Conte
Groups
Sociophysics: A new approach of sociological collective behavior - Serge Galam, Y. Gefen and Y. Shapir
Towards a Theory of Collective Phenomena: Consensus and attitude changes in groups - Serge Galam and Serge Moscovici
Status and Participation in Task Groups: A dynamic network model - John Skvoretz and Thomas J. Fararo
Organisations
A Garbage Can Model of Organizational Choice - Michael D. Cohen, James G. March and Johan P. Olsen
Societies
Population Growth and Collapse in a Multiagent Model of the Kayenta Anasazi in Long House Valley - Robert L. Axtell, Joshua M. Epstein, Jeffrey S. Dean, George J. Gumerman, et al
The "Wedding-Ring": An agent-based marriage model based on social interaction - F. Billari, A. Prskawetz, B.A. Diaz and T. Fent
The EOS Project: Integrating two models of palaeolithic social change - Jim Doran and Mike Palmer
Persuasion Dynamics - Gérard Weisbuch, Guillaume Deffuant and Frédéric Amblard
Networks
The Structure of Scientific Collaboration Networks - M.E.J. Newman
Opinion Evolution in Closed Community - Katarzyna Sznajd-Weron and Jósef Sznajd
The "New" Science of Network - Duncan J. Watts
VOLUME 3
Social Dilemmas
Agent-Based Simu

Über Autor(innen)

Gilbert, Nigel
Nigel Gilbert is Professor of Sociology at the University of Surrey, Guildford, England. He is the author or editor of 34 books and many academic papers and was the founding editor of the Journal of Artificial Societies and Social Simulation. His current research focuses on the application of agent-based models to understanding social and economic phenomena, especially the emergence of norms, culture, and innovation. He obtained a doctorate in the sociology of scientific knowledge in 1974 from the University of Cambridge and has subsequently taught at the universities of York and Surrey in England. He is one of the pioneers in the field of social simulation and is past president of the European Social Simulation Association. He is a Fellow of the UK Academy of Social Sciences and of the Royal Academy of Engineering.