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Klappentext 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. This set brings together the essential writings in the emerging field of computational methods, including hard-to-locate literature scattered across the social science disciplines. 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 Gi...
