Titlebook: Simulating Interacting Agents and Social Phenomena; The Second World Con Keiki Takadama (Associate Professor),Claudio Cioff Conference proc

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Conference proceedings 2010tional science, social dynamics, and complex systems. This area contributes to enriching our understanding of the fundamental processes of social phenomena caused by complex interactions among agents. Bringing together diverse approaches to social simulation and research agendas, this book presents

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Analysis of Knowledge Retrieval Heuristics in Concurrent Software Development Teams if team members have sufficient information about their teammates’ expertise, the minimum effort type is effective; (4) in small teams with a light work-load, if team members have sufficient information about their teammates’ expertise, both the minimum effort type and the “ask others” type are effective.

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Comparing Two Sexual Mixing Schemes for Modelling the Spread of HIV/AIDSour. Since we therefore have to depend on plausible assumptions we decided to study different sexual mixing schemes and their effect on the formation of sexual networks. We report on some fundamental network signatures and discuss the resulting HIV/AIDS prevalence as a macro-level output of the simulation.

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Injecting Data into Agent-Based Simulationding models with it. In addition it proposes to merge the principles of microsimulation into the classical logic of agent-based simulation, adapting it to the data-driven approach. A case study comparing the two approaches is provided.

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