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The Centre for Research in Social Simulation (CRESS), based in the Department of Sociology in the School of Human Sciences at the University of Surrey is a multidisciplinary centre bringing together the social sciences, software engineering and agent-based computing to promote and support the use of social simulation in research in the human sciences. If you would like more information on CRESS research and activities, or learn more about collaboration with CRESS, please e-mail us. PUBLICATIONS The following resource list are the latest writing on simulation use in the social sciences. Journals and Articles Books Academic Papers       Journals and Articles Journal of Artificial Societies and Social Simulation (JASSS) An electronic refereed journal specifically focused on the computer simulation of societies. Asakawa, T., & Gilbert, N. (2003). Synthesizing experiences: lessons to be learned from internet-mediated simulation games. Simulation and Gaming, 34(1), 10 - 22. Gilbert, N., Maltby, S., & Asakawa, T. (2002). Participatory simulations for developing scenarios in environmental resource management. Paper presented at the 3rd workshop on Agent-based simulation, Passau, Germany. M.Hare, Gilbert, N., Medugno, D., Asakawa, T., Heeb, J., & Pahl-Wostl, C. (2001). The development of an internet forum for long-term participatory group learning about problems and solutions to sustainable urban water supply management. In L. M. Hilty & P. W. Gilgen (Eds.), Sustainability in the Information Society (pp. 743-750). Marburg: Metropolis Verlag. Gilbert, N., & Chattoe, E. (2001). Hunting the unicorn: an exploration of the simulation of small group leadership. In N. J. Saam & B. Schmidt (Eds.), Cooperative Agents: applications in the social sciences (pp. 109 - 124). Dordrecht: Kluwer. Books Tools and Techniques for Social Science Simulation R. Suleiman (Editor), K.G. Troitzch (Editor), Nigel Gilbert (Editor) Physica-Verlag (2000); ISBN: 379081265X This book provides a broad overview on all methods applied to social science simulation as a tool for modelling and theory building. The book is a collection of an international conference that brought together social scientists and computer scientists both engaged in a wide range of simulation approaches. Simulation for the Social Scientist by Nigel Gilbert and Klaus G. Troitzsch Open University Press (1999); ISBN: 0335197442 This text gives advice on techniques for building computer simulations to assist understanding of social and ergonomic issues and problems. It outlines common approaches to social simulation which will allow those with some programming skills to create their own simulation. Multi-Agent Systems and Agent-Based Simulation Jaime S. Sichman, Rosaria Conte, and Nigel Gilbert (Editors) Springer-Verlag Telos (1998); ISBN: 3540654763 This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation, MABS'98. Topics covered are multi-agent systems, social simulation, agent-based modelling, cognitive emergence, honey-bee colonies, artificial societies, economic aspects, cultural evolution, roles in agent systems, and applications in various areas. Computer Simulations in Science and Technology Studies P. Ahrweiler and Nigel Gilbert (Editors) Springer-Verlag Berlin (1998); ISBN: 3540648712 What is it about the structure and organization of science and technology? This book aims to answer this question and applies the tools of simulation systematically to a specific domain - science and technology studies. Academic Papers Computer simulation of social processes by Nigel Gilbert A Simulation of the Structure of Academic Science by Nigel Gilbert in Sociological Research Online Simulation: an emergent perspective by Nigel Gilbert Bibliography for Simulation: Optimization and Sensitivity Analysis Contains up-to-date references for evaluating computer simulation models including those based on genetic algorithms for optimization and sensitivity analysis. Agent-Based Computational Economics (ACE) Agent-based computational economics (ACE) is roughly defined as the computational study of economies modelled as evolving decentralized systems of autonomous interacting agents.

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