Sponsor: The Scientific and Technological Research Council of Turkey (TÜBİTAK): CAREER Award (2014)
The focus of this research is to develop a game theoretical modeling and simulation framework for the integration of Unmanned Aircraft Systems (UAS) into the National Air Space (NAS). The problem of predicting the outcome of complex scenarios, where UAS and manned air vehicles co-exist in future civil applications of UAS such as agriculture, journalism, commercial and so on, is the research problem of this study. The most challenging part of this research problem is predicting the reactions of human pilots during interactions with UAS and automation. The foundations of the proposed modeling method in this paper is formed by game theory, which analyzes strategic decision making between intelligent agents, bounded rationality concept, which is based on the fact that humans cannot always make perfect decisions, and reinforcement learning, which is shown to be effective in human behavior in psychology literature. These concepts are used to develop a simulator which can be used to obtain the outcomes of scenarios consisting of UAS, manned vehicles, automation and their interactions.