In this book experts from quite different fields present simulations of social phenomena: economists, sociologists, political scientists, psychologists, cognitive scientists, organisational scientists, decision scientists, geographers, computer scientists, AI and AL scientists, mathematicians and statisticians.

Social Simulation — A New Disciplinary Synthesis.- I Simulating in the Social Sciences: History, Problems, and Perspectives.- Advancing the Art of Simulation in the Social Sciences.- Social Science Simulation — Origins, Prospects, Purposes.- Can Agents Cover All the World?.- A Laboratory for Agent Based Computational Economics: The Self-development of Consistency in Agents’ Behaviour.- From the Margin to the Mainstream: An Agenda for Computer Simulations in the Social Sciences.- Computer Simulated Empirical Tests of Social Theory: Lessons from 15 Years’ Experience.- Modelling a Society of Simple Agents: From Conceptual Specification to Experimentation.- II Cooperation, Exchange, and Coalitions.- Bargaining Between Automata.- What to Do with a Surplus.- Spatially Coevolving Automata Play the Repeated Prisoner’s Dilemma.- A Spatial Iterated Prisoners Dilemma Game Simulation with Movement.- Cooperation as Illusory Hill-Climbing: Co-adaptation and Search in Social Dilemmas.- Cooperation Without Memory.- Tributes or Norms? The Context-dependent Rationality of Social Control.- In What Kinds of Social Groups Can „Altruistic“ Behaviors Evolve?.- Global vs. Local Social Search in the Formation of Coalitions.- Exchange and Challenge in Collective Decision Making.- III Markets, Organisations, and Economic Dynamics.- Market Organisation.- Market Organizations for Controlling Smart Matter.- Personnel Policies, Long Term Unemployment and Growth An Evolutionary Model.- Agent-Based Keynesian Economics.- An Evolutionary Approach to Structural Economic Dynamics.- Macroeconomic Interdependence and Frequency Locking.- Organizational Actors and the Need for a Flexible World Representation.- Concurrency and the Logic of Economic Organization.- Models and Scenarios for EuropeanFreight Transport Based on Neural Networks and Logit Analysis.- An Evolutionary Urban Cellular Automata: The Model and Some First Simulations.- Simulating Multiparty Systems.- IV Learning and Adaptation.- Co-ordination and Specialisation.- Modelling Meta-Memes.- Innovation and Imitation as Competitive Strategies: Revisiting a Simulation Approach.- A Simulation of Adaptation Mechanisms in Budgetary Decision Making.- Searching for the Next Best Mate.- Adaptive Artificial Agents Play a Finitely Repeated Discrete Principal-Agent Game.- Foreknowledge in Artificial Societies.- Would and Should Government Lie about Economic Statistics: Understanding Opinion Formation Processes through Evolutionary Cellular Automata.- V Statistics.- Simulation for Statistical Inference in Dynamic Network Models.- Permutation Techniques for Testing Homogeneity of Social Groups from Questionnaire Results.- Sketching Life Paths: A New Framework for Socio-Economic Statistics.- New Goods and the Measurement of Real Economic Growth: Summary Results Using the XEcon Experimental Economy.