Simulation for the Social Scientist
Autor Nigel Gilbert, Klaus Troitzschen Limba Engleză Paperback – 16 feb 2005
- What can computer simulation contribute to the social sciences?
- Which of the many approaches to simulation would be best for my social science project?
- How do I design, carry out and analyse the results from a computer simulation?
New for this edition:
- A new chapter on designing multi-agent systems, to support the fact that multi-agent modelling has become the most common approach to simulation
- New examples and guides to current software
- Updated throughout to take new approaches into account
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Specificații
ISBN-13: 9780335216000
ISBN-10: 0335216005
Pagini: 312
Dimensiuni: 153 x 231 x 16 mm
Greutate: 0.51 kg
Ediția:2
Editura: McGraw Hill Education
Colecția Open University Press
Locul publicării:United Kingdom
ISBN-10: 0335216005
Pagini: 312
Dimensiuni: 153 x 231 x 16 mm
Greutate: 0.51 kg
Ediția:2
Editura: McGraw Hill Education
Colecția Open University Press
Locul publicării:United Kingdom
Cuprins
1: Simulation and social science
2: Simulation as a method
3: Systems dynamics and world models
4: Microanalytical simulation models
5: Queuing models
6: Multilevel simulation models
7: Cellular automata
8: Multi-agent models
9: Developing multi-agent systems
10: Learning and evolutionary models
Appendix A (websites)
Appendix B (Linear stability analysis of the hawk–dove–lawabider model)
Appendix C (Random number generators)
2: Simulation as a method
3: Systems dynamics and world models
4: Microanalytical simulation models
5: Queuing models
6: Multilevel simulation models
7: Cellular automata
8: Multi-agent models
9: Developing multi-agent systems
10: Learning and evolutionary models
Appendix A (websites)
Appendix B (Linear stability analysis of the hawk–dove–lawabider model)
Appendix C (Random number generators)