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E-raamat: Tools and Techniques for Social Science Simulation

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  • Formaat: PDF+DRM
  • Ilmumisaeg: 06-Dec-2012
  • Kirjastus: Physica-Verlag GmbH & Co
  • Keel: eng
  • ISBN-13: 9783642517440
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Tools and Techniques for Social Science SimulationSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 06-Dec-2012
  • Kirjastus: Physica-Verlag GmbH & Co
  • Keel: eng
  • ISBN-13: 9783642517440
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The use of computer simulations to study social phenomena has grown rapidly during the last few years. Many social scientists from the fields of economics, sociology, psychology and other disciplines now use computer simulations to study a wide range of social phenomena. The availability of powerful personal computers, the development of multidisciplinary approaches and the use of artificial intelligence models have all contributed to this development. The benefits of using computer simulations in the social sciences are obvious. This holds true for the use of simulations as tools for theory building and for its implementation as a tool for sensitivity analysis and parameter optimization in application-oriented models. In both, simulation provides powerful tools for the study of complex social systems, especially for dynamic and multi-agent social systems in which mathematical tractability is often impossible. The graphical display of simulation output renders it user friendly to many social scientists that lack sufficient familiarity with the language of mathematics. The present volume aims to contribute in four directions: (1) To examine theoretical and methodological issues related to the application of simulations in the social sciences. By this we wish to promote the objective of designing a unified, user-friendly, simulation toolkit which could be applied to diverse social problems. While no claim is made that this objective has been met, the theoretical issues treated in Part 1 of this volume are a contribution towards this objective.

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Springer Book Archives
I Simulations as Tools for Modelling and Theory Building Models, Processes and Algorithms: Towards a Simulation Toolkit 3(14) Nigel Gilbert Questions in the Methodology of Artificial Societies 17(9) Jim Doran Computer Assisted Interfacing: On the Use of Computer Simulation for Theory Construction 26(22) Georg Muller Interactive Neural Networks as Tools for Modeling Social Systems 48(17) Christina Stoica II Multi-Agent Based Simulations SMASS: A Serial Multi-Agent System for Social Simulation 65(18) Wolfgang Balzer PECS: A Reference Model for the Simulation of Multi-Agent Systems 83(32) Christoph Urban Bedrock: Building Multi-Agent Simulation Applications 115(16) Matthew J. Rockloff Diversity in Strategies of Partnership Formation 131(20) Rosaria Conte III Game Theory and Cellular Automata Cellular Automata Models as a Modelling Tool 151(28) Rainer Hegselmann Andreas Flache Volker Moller Evolution of Learning Rules in Space 179(17) Oliver Kirchkamp Maintaining Diversity: Simulating the Role of Nonliniarity and Discreteness in Dynamic Social Impact 196(22) Bibb Latane Hiroaki Morio Representation Methods and the Emergence of Inter-Group Cooperation 218(25) Ilan Fischer Ramzi Suleiman IV Sensitivity Analysis Sensitivity Analysis in the Social Sciences: Problems and Prospects 243(31) Edmund Chattoe Nicole J. Saam Michael Mohring Tests of Dynamic Social Models with Time Related Surveys: an Experimental Approach 274(28) Christof Schatz What Is the Use of Gossip? A Sensitivity Analysis of the Spreading of Respectful Reputation 302(15) Mario Paolucci Mario Marsero Rosaria Conte V Applications Modelling Greening Investors: Economic Development, Opinion Formation, and Technological Change in a Multilevel Simulation Model 317(27) Kai-H. Brassel Ottmar Edenhofer Michael Mohring Klaus G. Troitzsch Microsimulating Farm Business Performance 344(7) Philip Kokic Ray Chambers Steve Beare Ordering Parameters in the Rule Space of Social Systems 351(22) Jurgen Kluver Jorn Schmidt Ralph Kier Biographical Sketches 373(7) Subject Index 380(2) Author Index 382
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