High-Performance Computing for Agent-Based Modeling of Between-Group Conflicts
Abstract
Any discussion of the strategies aiming to anticipate and mitigate social behaviors and phenomena impacting U.S. interests and national security (such as the Arab Spring or the ongoing crises in eastern Europe and the Middle East) is incomplete without including the Òhuman domain,Ó encompassing the totality of the physical, cultural, and social environments and factors influencing human behavior. Human behavior is crucially affected by material cost-benefit considerations, species-typical social instincts, personality and other individual differences, as well as culturally transmitted norms and values. Due to the inherent complexity of social interactions with multiple individual players and parties pursuing various, often contradictory, goals, mathematical modeling, in general, and agent-based simulations, in particular, are very important tools for both identifying generalities and making specific predictions. The requested computational equipment will greatly enhance the quality and efficiency of the PIÕs research on complex social behaviors by allowing much faster and wider numerical exploration of mathematical models which in turn will lead to better understanding of complex social phenomena and more precise predictions.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Oct 16, 2018
- Source ID
- W911NF1710150
Entities
People
- Sergey Gavrilets
Organizations
- Army Contracting Command
- United States Army
- University of Tennessee