By Martin Neumann (auth.), Keiki Takadama, Claudio Cioffi-Revilla, Guillaume Deffuant (eds.)
Agent-based modeling and social simulation have emerged as an interdisciplinary sector of social technology that comes with computational economics, organizational technology, social dynamics, and intricate platforms. This zone contributes to enriching our knowing of the elemental techniques of social phenomena as a result of complicated interactions between brokers. Bringing jointly different techniques to social simulation and learn agendas, this e-book offers a special number of contributions from the second one international Congress on Social Simulation, held in 2008 at George Mason college in Washington DC, united states. This booklet particularly comprises articles on norms, diffusion, social networks, economic climate, markets and businesses, computational modeling, and programming environments, supplying new hypotheses and theories, new simulation experiments in comparison with numerous info units, and new equipment for version layout and improvement. those works emerged from an international and interdisciplinary medical group of the 3 nearby medical institutions for social simulation: the North American organization for Computational Social and Organizational technological know-how (NAACSOS; now the Computational Social technology Society, CSSS), the eu Social Simulation organization (ESSA), and the Pacific Asian organization for Agent-bBased strategy in Social structures Sciences (PAAA).
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TC researchers have gone so far as to say that the community of fellow substance abusers is the method of treatment . Qualitative studies have suggested that TC residents do N. Doogan (), K. Warren, D. Hiance, and J. Linley College of Social Work, The Ohio State University, 1947 College Road, Columbus, OH 43210, USA. edu K. Takadama et al. 1007/978-4-431-99781-8_3, © Springer 2010 37 38 N. Doogan et al. value the help of their peers, but take several months to internalize the TC culture of mutual aid .
We ran several simulations varying the number of agents and the value of the threshold that causes the generation of new normative beliefs. 8 The Simulator We realized a simulator for non-expert users with a simple interface, such that the user can manipulate the number of agents involved in the simulation, the number of time’s ticks, the number of contexts and the population type, whether composed by SCs or by NRs. Simulations with mixed populations are not allowed at this stage. , save the results of simulation in a workspace.
While upstream indirect reciprocity has been repeatedly observed in experiments, it has been difficult to construct a theoretical explanation, because it confers no benefit on the reciprocator. However, Nowak and Roch  have pointed out that upstream indirect reciprocity can lead to random walks of cooperative acts that jump from one member of the group to another, adding to the overall level of cooperation in the group. Further, upstream indirect reciprocity can evolve as a side effect of direct reciprocity.
Simulating Interacting Agents and Social Phenomena: The Second World Congress by Martin Neumann (auth.), Keiki Takadama, Claudio Cioffi-Revilla, Guillaume Deffuant (eds.)