INSEAD Library

Includes bibliographical references and index

Digitized

Simulation for the Social Scientist Contents Preface ix 1 Simulation and social science 1 What is simulation? 2 The history of social science simulation ................................................. 6 Simulating human societies .................................................................. 10 Conclusion ........................................................................................... 13 2 Simulation as a method 15 The logic of simulation ......................................................................... 16 The stages of simulation-based research ............................................... 18 Conclusion ........................................................................................... 26 3 System dynamics and world models 28 Software ............................................................................................... 31 An example: doves, hawks and law-abiders .......................................... 32 Commentary......................................................................................... 44 World models ...................................................................................... 45 Problems and an outlook ..................................................................... 50 Further reading .................................................................................... 54 4 Microanalytical simulation models 57 Methodologies ..................................................................................... 60 Software ............................................................................................... 65 Examples ............................................................................................. 66 Commentary........................................................................................ 75 Further reading ................................................................................... 76 5 Queuing models 79 Characteristics of queuing models ...................................................... 80 Software ............................................................................................. 86 Examples ............................................................................................ 87 Commentary........................................................................................ 97 Further reading ................................................................................... 98 6 Multilevel simulation models 100 Some synergetics ............................................................................... 102 Software: MIMOSE........................................................................... 107 Examples .......................................................................................... 113 Commentary...................................................................................... 127 Further reading ................................................................................. 128 7 Cellular automata The Game of Life ............................................................................. Other cellular automata models ........................................................ Extensions to the basic model........................................................... Software ........................................................................................... Further reading ................................................................................. 8 Multi-agent models Agents and agency ............................................................................ Agent architecture ............................................................................ Building multi-agent simulations ....................................................... Examples of multi-agent modelling .................................................. Further reading ................................................................................. 130 131 134 145 151 169 172 173 178 182 190 197 9 Developing multi-agent systems 199 Making a start ................................................................................... 200 From theory to model ....................................................................... 202 Adding dynamics .............................................................................. 207 Cognitive models .............................................................................. 209 The user interface ............................................................................. 210 Unit tests .......................................................................................... 211 Debugging.......................................................................................... 212 Using multi-agent simulations ............................................................ 214 Conclusion ......................................................................................... 215 Further reading .................................................................................. 215 10 Learning and evolutionary models 217 Artificial neural networks ................................................................... 219 Using artificial neural networks for social simulation .......................... 222 Designing neural networks ................................................................. 227 Evolutionary computation.................................................................. 230 Further reading .................................................................................. 253 Appendix A Web sites 256 General .............................................................................................. 256 Programs, packages and languages ..................................................... 256 Electronic journals ............................................................................. 260 System dynamics ................................................................................ 260 Microsimulation ................................................................................. 261 Queuing models ................................................................................. 263 Cellular automata ............................................................................... 264 Multi-agent systems ............................................................................ 265 Neural networks ................................................................................. 265 Evolutionary computation.................................................................. 266 Appendix B Linear stability analysis of the dove­hawk­law-abider model 267 Appendix C Random number generators References Author index Subject index 272 275 287 291