Simulating social phenomena
In this book experts from quite different fields present simulations of social phenomena: economists, sociologists, political scientists, psychologists, cognitive scientists, organisational scientists, decision scientists, geographers, computer scientists, AI and AL scientists, mathematicians and statisticians. They simulate markets, organisations, economic dynamics, coalition formation, the emergence of cooperation and exchange, bargaining, decision making, learning, and adaptation. The history, problems, and perspectives of simulating social phenomena are explicitly discussed.
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Advancing the Art of Simulation in the Social Sciences
Social Science Simulation Origins Prospects Purposes
Can Agents Cover All the World?
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action activities actors adaptive agents analysis animats approach Ariel Rubinstein artificial assumptions automaton average behavior bounded rationality buyers cellular automata choice cognitive Collective Store complex computer simulation cooperation cycle decision distribution dynamic economic effects emergence environment epistasis equation equilibrium evolution evolutionary example exchange expected experiments Figure firms foreknowledge function Genetic Algorithm given grazer imitation increase initial innovation interaction Journal labour learning meme meta-meme microsimulation Moore machine multi-agent mutation Nash equilibrium neural network noosphere optimal organisations outcome output paper parameters parties payoff performance period player population possible prediction probability problem produce profit random randomly rational relations replication represented rules Santa Fe Institute scenario selected sellers share Simulating Societies simulation models social sciences social search specific statistics strategy structure target theory unemployment utility variables