Simulation For The Social Scientist
McGraw-Hill Education (UK), Feb 1, 2005 - Social Science - 295 pages
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 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
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ACT-R activation actors agents approach artificial neural networks artificial societies ask patches attributes average Axelrod behaviour black cells cellular automata cent Chapter check-in counters chromosome colour complex depends diagram differential equations discrete event simulation distribution doves environment evolutionary computation example Figure function genes genetic algorithm global graphical user interface grid GSOEP hawks hawks and doves household ifelse income individual initial input interactions language large number law-abiders layer means microsimulation MIMOSE multi-agent models multi-agent simulation multi-agent systems multilevel modelling neighbourhood neighbours NetLogo neural networks object outcome output parameters passengers Passport Check Counter pattern payoff pcolor population predict probability programming language proportion queue queuing models random number represent rules sample shops simulation run social sciences social simulation statistical STELLA step strategy system dynamics target system taxable theory units values variables