Simulation for the Social ScientistMcGraw-Hill Education (UK), 16 févr. 2005 - 312 pages
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. New for this edition:
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Table des matières
| 1 | |
Chapter 2 Simulation as a method | 15 |
Chapter 3 System dynamics and world models | 28 |
Chapter 4 Microanalytical simulation models | 57 |
Chapter 5 Queuing models | 79 |
Chapter 6 Multilevel simulation models | 100 |
Chapter 7 Cellular automata | 130 |
Chapter 8 Multiagent models | 172 |
Chapter 10 Learning and evolutionary models | 217 |
Appendix A Web sites | 256 |
Appendix B Linear stability analysis of the dovehawklawabider model | 267 |
Appendix C Random number generators | 272 |
| 275 | |
Author index | 287 |
| 291 | |
Back cover | 296 |
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Expressions et termes fréquents
activation actors agents algorithm allows applied approach artificial attributes average become behaviour building calculated called cells cellular automata cent Chapter chromosome complex consider consists counters defined depends described detail discussed distribution doves economy effect environment equations event example experiments Figure fitness function grid hawks household income individual initial input instance interactions interesting language law-abiders layer learning majority means microsimulation move multi-agent neighbours object output parameters passengers patches pattern persons population possible predict probability procedure proportion queue random represent rules sample selected served shows simple simulation social social sciences societies start starting statistical step strategy system dynamics theory turtle units values variables waiting weights