The most exciting and productive areas of academic inquiry are often where the interests of two disciplines meet. This is certainly the case for the subject of this book, first published in 1994, which explores the contribution that computer-based modelling and artificial intelligence can make to understanding fundamental issues in social science.

Preface. Contributors. 1. Simulating Societies: An Introduction Jim Doran and Nigel Gilbert 2. Simulation of Complex Organizational Processes: A Review of Methods and their Epistemological Foundations Ann C. Séror 3. The Evolution of Technologies Klaus G. Troitzsch 4. Simulating the Emergence of Social Order from Individual Behaviour Andrzej Nowak and Bibb Latané 5. The Architecture of Society: Stochastic Simulation of Urban Movement Alan Penn and Nick Dalton 6. Multi-agent Simulation as a Tool for Studying Emergent Processes in Societies Alexis Drogoul and Jacques Ferber 7. Simulating Fishermen's Society F. Bousquet, C. Cambier, C. Mullon, P. Morand and J. Quensiere 8. Simulating Prehistoric Hunter-Gatherer Societies Steven Mithen 9. The EOS Project: Modelling Upper Palaeolithic Social Change Jim Doran, Mike Palmer, Nigel Gilbert and Paul Mellars 10. Learning to Co-operate Using Cultural Algorithms Robert G. Reynolds 11. The Simulation of Trade in Oligopolistic Markets José Castro Caldas and Helder Coelho 12. Mind is Not Enough: The Precognitive Bases of Social Interaction Rosaria Conte and Cristiano Castelfranchi. References. Index.