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

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Model Docking Using Knowledge-Level Analysis,ronment allowing for model docking experimentation. There are research challenges in identifying which models are appropriate to dock and the concepts that they should exchange to build a richer multi-scale view of the world. Our early approach includes docking of societal system dynamics models wit

Psa617

疏忽

receptors

Optimization-Based Influencing of Village Social Networks in a Counterinsurgency,de of the population. We demonstrate in an experiment the merits of the optimization model in nonlethal targeting, which performs significantly better than both doctrine-based and random methods of assignment in a large network.

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Model Docking Using Knowledge-Level Analysis,mentation of knowledge-level model docking. A docked system can supply a multi-scale modeling capability to support a user’s what-if analysis through combinations of case-based modeling, system dynamics approaches and agent-based models working together. An example is provided for the domain of terrorist recruiting.

Water-Brash

Using Web-Based Knowledge Extraction Techniques to Support Cultural Modeling,xtraction with epidemiological perspectives of culture and network-based approaches to cultural analysis. The approach can be used, we suggest, to support the development of models providing a better understanding of the cognitive characteristics of particular cultural groups.

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充足

Application of a Profile Similarity Methodology for Identifying Terrorist Groups That Use or Pursue, and that the exploitation of this aspect leads to new insights helpful in the identification of multiple profiles for actors. Our application builds on a study of 108 Islamic jihadist organizations that predicts use or pursuit of CBRN weapons.

GOAT

,Predicting Demonstrations’ Violence Level Using Qualitative Reasoning,while two of these models fail to predict the outcomes of real-world events reported and analyzed in the literature, one model is successful. We believe that this demonstrates the efficacy of qualitative reasoning in the development and testing of social sciences theories.

Introduction

A Longitudinal View of the Relationship Between Social Marginalization and Obesity,orming to the size of the group. This conformity seems to increase over time as the population becomes more obese. Finally, we find that obesity precedes social marginalization which lends credence to the notion that obesity causes social marginalization and not vice versa.