AI Bibliography
AI Bibliography |
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Hanley, J. T. (2021). Games, game theory and artificial intelligence. Journal of Defense Analytics and Logistics. |
| Resource type: Journal Article BibTeX citation key: Hanley2021 View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Complexity Science, Computer Science, Decision Theory, General, Military Science Subcategories: Advanced wargaming, Chaos theory, Decision making, Deep learning, Game theory, Human learning, Machine learning, Psychology of human-AI interaction, Simulations, Strategy, Systems theory Creators: Hanley Publisher: Collection: Journal of Defense Analytics and Logistics |
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| Abstract |
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The purpose of this paper is to illustrate how game theoretic solution concepts inform what classes of problems will be amenable to artificial intelligence and machine learning (AI/ML), and how to evolve the interaction between human and artificial intelligence. The approach addresses the development of operational gaming to support planning and decision making. It then provides a succinct summary of game theory for those designing and using games, with an emphasis on information conditions and solution concepts. It addresses how experimentation demonstrates where human decisions differ from game theoretic solution concepts and how games have been used to develop AI/ML. It concludes by suggesting what classes of problems will be amenable to AI/ML, and which will not. It goes on to propose a method for evolving human/artificial intelligence. |