Modeling multiple communities of interest for interactive simulation and gaming: the dynamic adversarial gaming algorithm project

Eugene Santos Jr.; Qunhua Zhao; Felicia Pratto; Adam R. Pearson; Bruce McQueary; Andy Breeden; Lee Krause

doi:10.1117/12.722319

10 May 2007 Modeling multiple communities of interest for interactive simulation and gaming: the dynamic adversarial gaming algorithm project

Eugene Santos Jr., Qunhua Zhao, Felicia Pratto, Adam R. Pearson, Bruce McQueary, Andy Breeden, Lee Krause

Author Affiliations +

Proceedings Volume 6564, Modeling and Simulation for Military Operations II; 656410 (2007) https://doi.org/10.1117/12.722319
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

Nowadays, there is an increasing demand for the military to conduct operations that are beyond traditional warfare. In these operations, analyzing and understanding those who are involved in the situation, how they are going to behave, and why they behave in certain ways is critical for success. The challenge lies in that behavior does not simply follow universal/fixed doctrines; it is significantly influenced by soft factors (i.e. cultural factors, societal norms, etc.). In addition, there is rarely just one isolated enemy; the behaviors and responses of all groups in the region, and the dynamics of the interaction among them composes an important part of the whole picture. The Dynamic Adversarial Gaming Algorithm (DAGA) project aims to provide a wargaming environment for automation of simulating dynamics of geopolitical crisis and eventually be applied to military simulation and training domain, and/or commercial gaming arena. The focus of DAGA is on modeling communities of interest (COIs), where various individuals, groups, and organizations as well as their interactions are captured. The framework should provide a context for COIs to interact with each other and influence others' behaviors. These behaviors must incorporate soft factors by modeling cultural knowledge. We do so by representing cultural variables and their influence on behavior using probabilistic networks. In this paper, we describe our COI modeling, the development of cultural networks, the interaction architecture, and a prototype of DAGA.

Citation Download Citation

Eugene Santos Jr., Qunhua Zhao, Felicia Pratto, Adam R. Pearson, Bruce McQueary, Andy Breeden, and Lee Krause "Modeling multiple communities of interest for interactive simulation and gaming: the dynamic adversarial gaming algorithm project", Proc. SPIE 6564, Modeling and Simulation for Military Operations II, 656410 (10 May 2007); https://doi.org/10.1117/12.722319

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