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Simulation for the Social Scientist [Kõva köide]

  • Formaat: Hardback, 288 pages, kõrgus: 230 mm, kaal: 760 g, Illustrations
  • Ilmumisaeg: 01-Apr-1999
  • Kirjastus: Open University Press
  • ISBN-10: 0335197450
  • ISBN-13: 9780335197453
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  • Formaat: Hardback, 288 pages, kõrgus: 230 mm, kaal: 760 g, Illustrations
  • Ilmumisaeg: 01-Apr-1999
  • Kirjastus: Open University Press
  • ISBN-10: 0335197450
  • ISBN-13: 9780335197453
Teised raamatud teemal:
Gilbert (sociology, U. of Surrey) and Troitzsch (social science informatics, U. of Koblenz-Landau, Germany) offer a practical textbook on techniques for building simulations to assist the understanding of social and economics issues. They explain what computer simulation can contribute to the social sciences, which of the many approaches to simulation would be best for a particular research project, and how to design and carry out a simulation and analyze the results. Computer scientists might also benefit from reading what functions social scientists need and what problems they have with existing packages. US distribution by Taylor and Francis. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Preface ix
Simulation and social science
1(13)
What is simulation?
2(4)
The history of social science simulation
6(3)
Simulating human societies
9(3)
Conclusion
12(2)
Simulation as a method
14(13)
The logic of simulation
15(2)
The stages of simulation-based research
17(8)
Conclusion
25(2)
System dynamics and world models
27(26)
Software
30(1)
An example: Hawks, doves and law-abiders
31(11)
Commentary
42(1)
World models
43(5)
Problems and an outlook
48(3)
Further reading
51(2)
Microanalytical simulation models
53(21)
Methodologies
56(5)
Software
61(1)
Examples
62(9)
Commentary
71(1)
Further reading
72(2)
Queuing models
74(18)
Characteristics of queuing models
75(6)
Software
81(1)
Examples
81(9)
Commentary
90(1)
Further reading
90(2)
Multilevel simulation models
92(29)
Some synergetics
94(5)
Software: MIMOSE
99(6)
Examples
105(13)
Commentary
118(1)
Further reading
119(2)
Cellular automata
121(37)
The Game of Life
123(2)
Other cellular automata models
125(11)
Extensions to the basic model
136(5)
Software
141(16)
Further reading
157(1)
Multi-agent models
158(37)
Agents and agency
159(5)
Agent architecture
164(4)
Examples of multi-agent modelling
168(6)
Building multi-agent simulations
174(19)
Further reading
193(2)
Learning and evolutionary models
195(43)
Artificial neural networks
197(3)
Using artificial neural networks for social simulation
200(5)
Designing neural networks
205(2)
Implementation
207(11)
Genetic algorithms
218(18)
Further reading
236(2)
Appendix A Web sites 238(12)
General
238(1)
Programs, packages and languages
239(2)
Electronic journals
241(1)
System dynamics
241(1)
Microsimulation
242(2)
Queuing models
244(1)
Cellular Automata
245(1)
Distributed artificial intelligence
246(1)
Genetic algorithms
247(1)
Neural networks
248(2)
Appendix B Linear stability analysis of the hawk--dove--lawabider model 250(4)
Appendix C Random number generators 254(3)
References 257(9)
Author index 266(3)
Subject index 269