Simulation For The Social Scientist
Simulation for the Social Scientist is a practical textbook on the techniques of building computer simulations to assist understanding of social and economic issues and problems. This authoritative book details all the common approaches to social simulation, to provide social scientists with an appreciation of the literature and allow those with some programming skills to create their own simulations.
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Chapter 1 Simulation and social science
Chapter 2 Simulation as a method
Chapter 3 System dynamics and world models
Chapter 4 Microanalytical simulation models
Chapter 5 Queuing models
Chapter 6 Multilevel simulation models
Chapter 7 Cellular automata
Chapter 8 Multiagent models
Chapter 9 Developing multiagent systems
ACT-R actors agents approach artiﬁcial intelligence artiﬁcial societies ask patches attributes average Axelrod behaviour black cells cellular automata cent Chapter check-in counter chromosome colour complex deﬁned depends diagram difﬁcult discrete event discrete event simulation distribution doves environment evolutionary computation example ﬁght Figure ﬁnd ﬁre ﬁrst ﬁtness ﬂows function genes genetic algorithm graphical user interface grid GSOEP hawks hawks and doves household ifelse income individual inﬂuenced initial input interactions language large number law-abiders layer means microsimulation MIMOSE multi-agent models multi-agent systems multilevel modelling neighbourhood neighbours NetLogo neural networks object outcome output parameters passengers Passport Check Counter pattern payoff pcolor population predict probability procedure queue random number represent rules sample shops simulation run social sciences social simulation speciﬁc statistical STELLA step strategy sufﬁcient system dynamics target system taxable theory turtle units values variables
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