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Titlebook: Social Computing, Behavioral-Cultural Modeling and Prediction; 4th International Co John Salerno,Shanchieh Jay Yang,Sun-Ki Chai Conference

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Abstraction of an Affective-Cognitive Decision Making Model Based on Simulated Behaviour and Percepis paper is how to improve computational properties of a complex internal agent model, while preserving its behavioral properties. The problem is addressed for the case of an existing affective-cognitive decision making model instantiated for an emergency scenario. For this internal decision model a
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Medicare Auctions: A Case Study of Market Design in Washington, DC,oved services should follow. However, the switch to market pricing is not an easy one. Medicare’s experience with medical supplies illustrates the challenges and offers some important lessons. The key lesson is that government programs can benefit from introducing market methods, but doing so requir
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,Open Source Software Development: Communities’ Impact on Public Good,theory to explain the effects of interconnectedness on open source software (OSS) communities, and on contributions to public goods. We empirically test our proposals using an eight-year panel dataset on OSS projects based on the Eclipse Foundation, and conclude that interconnectedness negatively af
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Location Privacy Protection on Social Networks, in past years. However, location information protection on social networks has not been paid much attention. In this paper, we present a novel location privacy protection approach on the basis of user messages in social networks. Our approach grants flexibility to users by offering them multiple pr
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Agent-Based Models of Complex Dynamical Systems of Market Exchange, decentralized market dynamic that implements market equilibrium have failed. The reason is that a system of decentralized markets is a complex dynamical system in which the major form of learning is through experience (adaptive expectations) and imitating successful others (replicator dynamics)..I
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Computational and Statistical Models: A Comparison for Policy Modeling of Childhood Obesity, public health research, some apparent conflicts with traditional statistical methodologies for public health have arisen. Computational modeling is an approach set in context that integrates diverse sources of data to test the plausibility of working hypotheses and to elicit novel ones. Statistical
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Detecting Changes in Opinion Value Distribution for Voter Model,eighted voter model with multiple opinions in a retrospective setting. The unknown change is treated as a change in the value of an opinion which is a model parameter, and the problem is reduced to detecting this change and its magnitude from the observed opinion share diffusion data. We solved this
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Dynamic Simulation of Community Crime and Crime-Reporting Behavior,d non-offenders (or .) were modeled as agents living in neighborhoods, with a set of rules controlling changes in behavior based on individual experience. Offenders may become more or less inclined to actively commit criminal offenses, depending on the behavior of the neighborhood residents and othe
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