Tools and Techniques for Social Science SimulationRamzi Suleiman, Klaus G. Troitzsch, Nigel Gilbert Springer Science & Business Media, 6 בדצמ׳ 2012 - 387 עמודים 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. |
תוכן
3 | |
17 | |
On the Use of Computer Simulation | 26 |
Interactive Neural Networks as Tools for Modeling Social Systems | 48 |
A Reference Model for the Simulation of MultiAgent Systems | 83 |
Building MultiAgent Simulation Applications | 115 |
Diversity in Strategies of Partnership Formation | 131 |
Cellular Automata Models as a Modelling Tool | 151 |
Representation Methods and the Emergence of InterGroup | 218 |
Problems and Prospects | 243 |
What Is the Use of Gossip? A Sensitivity Analysis of the Spreading | 302 |
Economic Development Opinion Formation | 316 |
Microsimulating Farm Business Performance | 344 |
Ordering Parameters in the Rule Space of Social Systems | 351 |
Biographical Sketches | 373 |
380 | |
מהדורות אחרות - הצג הכל
מונחים וביטויים נפוצים
action actors agents algorithms application Artificial Societies assumptions attitudes Bedrock behaviour cells cellular automata cheaters clustering Cognition complex component computer simulation continuing diversity defined delegate described discrete distribution Doran dynamics Economic election environment equations evolution evolutionary evolutionary game theory example Figure frequency function genetic algorithms global goals grid Hegselmann implemented individual influence initial innovation input interaction iteration Klüver Latané learning rules linear mathematical matrix means meta parameters meta rules methods micro Microsimulation MIMOSE multi-agent systems multilevel MOdelling mutual cooperation neighbours nonlinear normative Nowak optimal optimisation output P-value patterns payoff players population possible problem programming proposition H random rational regression represent risk dominance sensitivity analysis Simulating Societies simulation model SMASS social sciences social simulation social systems spatial specific SPSS statistical stochastic strategy structure support game theory tion toolkit Troitzsch University updating values variables