Behavioral Constraints on Game Theory
Abstract
Game Theory typically treats cooperative games as being different from non-cooperative games. However, in reality, human interaction contains a bit of both -- profit maximization for self vs profit maximization for society. Invariably maximization of benefits to society accrue to an individual in the long run. Unfortunately, one-shot games do not take passge of time into account where as repeated games become too complicated very easily. The PI will, using a Network approach, consider co-evolution of society and a participant in game theoretic settings. The proposed approach would treat society, and context. as a network that is co-evolving with a network that characterizes the decision making model of an agent. Furthcnnore, by capturing causality. using a network model. the Pl expects to develop analytical models for what has been observed in the Behavioral Game Theory literature. The end result will be a network model of the tension between private good vs public good that brings together cooperative and non-cooperative game theory in a single model. The PI will validate his work by developing predictive models for outcome of network games that are now commonly used in the Network Science literature.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 12, 2017
- Source ID
- W911NF1510245
Entities
People
- Paolo Grigolini
Organizations
- Army Contracting Command
- United States Army
- University of North Texas