Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of ViewR. Hegselmann, Ulrich Mueller, Klaus G. Troitzsch Springer Science & Business Media, 30 juin 1996 - 320 pages Model building in the social sciences can increasingly rely on well elaborated formal theories. At the same time inexpensive large computational capacities are now available. Both make computer-based model building and simulation possible in social science, whose central aim is in particular an understanding of social dynamics. Such social dynamics refer to public opinion formation, partner choice, strategy decisions in social dilemma situations and much more. In the context of such modelling approaches, novel problems in philosophy of science arise which must be analysed - the main aim of this book. Interest in social simulation has recently been growing rapidly world- wide, mainly as a result of the increasing availability of powerful personal computers. The field has also been greatly influenced by developments in cellular automata theory (from mathematics) and in distributed artificial intelligence which provided tools readily applicable to social simulation. This book presents a number of modelling and simulation approaches and their relations to problems in philosophy of science. It addresses sociologists and other social scientists interested in formal modelling, mathematical sociology, and computer simulation as well as computer scientists interested in social science applications, and philosophers of social science. |
Table des matières
An Approach from the Perspective of Simulation | 1 |
SIMULATION AND RATIONAL PRACTICE | 13 |
The Modelling Dilemma Dissolved | 29 |
IMPOSSIBLE MODELS | 65 |
Simulations in the Natural and Social Sciences | 77 |
EVOLUTIONARY EXPLANATIONS FROM A PHILOSOPHY OF SCIENCE POINT OF VIEW | 101 |
SOME THOUGHTS ON THE METHODOLOGICAL STATUS OF THE DARMSTADT MICRO MACRO SIMULATOR DMMS | 123 |
ON THE MEASUREMENT OF ACTION | 141 |
STRUCTURALIST MODELS IDEALIZATION AND APPROXIMATION | 157 |
A CONCEPT OF EXPLANATION FOR SOCIAL INTERACTION MODELS | 169 |
SIMULATION AND STRUCTURALISM | 183 |
Perspectives Restrictions and Artefacts | 209 |
COMPUTER SIMULATIONS OF SUSTAINABLE COOPERATION IN SOCIAL DILEMMAS | 235 |
MODELING SOCIAL CHANGE WITH CELLULAR AUTOMATA | 249 |
Robust Predictions from Simple Theory | 287 |
Autres éditions - Tout afficher
Modelling and Simulation in the Social Sciences from the Philosophy of ... R. Hegselmann,Ulrich Mueller,Klaus G. Troitzsch Aucun aperçu disponible - 2010 |
Modelling and Simulation in the Social Sciences from the Philosophy of ... R. Hegselmann,Ulrich Mueller,Klaus G. Troitzsch Aucun aperçu disponible - 2014 |
Expressions et termes fréquents
actions agents analytical applications approach approximation assumptions attitudes Balzer basic behavior categories Berlin Cambridge cells cellular automata clusters complex computer simulations concept cooperation decision defectors described dynamic social impact econometric Economic emergence emergent properties empirical environment epistemic culture equations evaluation evolution evolutionary example experimental experiments explanation factors Field Figure frequency courses function game theory Hegselmann heuristics human individuals influence lactose Latané list of real macro mathematical measurement methodological micro Micro Macro microsimulation MIMOSE modeling dilemma Moore neighborhood natural neighborhood neighbors Nowak object type observed opinion parameters payoff phenomena Philosophy of Science physics population possible potential model predictions prisoner's dilemma problem properties qualitative rational relations rules scientific scientists Simulating societies simulation model social sciences societies specific Springer statistical physics strategy structuralist structure theoretical theory thick simulations tion Troitzsch variables WCLD Westmeyer WSLC