GAMES, game theory and artificial intelligence
Purpose – 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. Design/methodology/approach...
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| Format: | Article |
| Language: | English |
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Emerald Publishing
2021-12-01
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| Series: | Journal of Defense Analytics and Logistics |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/JDAL-10-2021-0011/full/pdf?title=games-game-theory-and-artificial-intelligence |
| _version_ | 1828410345185607680 |
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| author | John T. Hanley |
| author_facet | John T. Hanley |
| author_sort | John T. Hanley |
| collection | DOAJ |
| description | Purpose – 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. Design/methodology/approach – 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. Findings – Game theoretic solution concepts inform classes of problems where AI/ML 'solutions' will be suspect. The complexity of the subject requires a campaign of learning. Originality/value – Though games have been essential to the development of AI/ML, practitioners have yet to employ game theory to understand its limitations. |
| first_indexed | 2024-12-10T12:09:04Z |
| format | Article |
| id | doaj.art-34dfdb3e10b54a6fb9932bee4b917584 |
| institution | Directory Open Access Journal |
| issn | 2399-6439 2399-6447 |
| language | English |
| last_indexed | 2024-12-10T12:09:04Z |
| publishDate | 2021-12-01 |
| publisher | Emerald Publishing |
| record_format | Article |
| series | Journal of Defense Analytics and Logistics |
| spelling | doaj.art-34dfdb3e10b54a6fb9932bee4b9175842022-12-22T01:49:24ZengEmerald PublishingJournal of Defense Analytics and Logistics2399-64392399-64472021-12-015211413010.1108/JDAL-10-2021-0011676442GAMES, game theory and artificial intelligenceJohn T. Hanley0US Naval War College, Newport, Rhode Island, USAPurpose – 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. Design/methodology/approach – 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. Findings – Game theoretic solution concepts inform classes of problems where AI/ML 'solutions' will be suspect. The complexity of the subject requires a campaign of learning. Originality/value – Though games have been essential to the development of AI/ML, practitioners have yet to employ game theory to understand its limitations.https://www.emerald.com/insight/content/doi/10.1108/JDAL-10-2021-0011/full/pdf?title=games-game-theory-and-artificial-intelligencegame theorygamesartificial intelligence |
| spellingShingle | John T. Hanley GAMES, game theory and artificial intelligence Journal of Defense Analytics and Logistics game theory games artificial intelligence |
| title | GAMES, game theory and artificial intelligence |
| title_full | GAMES, game theory and artificial intelligence |
| title_fullStr | GAMES, game theory and artificial intelligence |
| title_full_unstemmed | GAMES, game theory and artificial intelligence |
| title_short | GAMES, game theory and artificial intelligence |
| title_sort | games game theory and artificial intelligence |
| topic | game theory games artificial intelligence |
| url | https://www.emerald.com/insight/content/doi/10.1108/JDAL-10-2021-0011/full/pdf?title=games-game-theory-and-artificial-intelligence |
| work_keys_str_mv | AT johnthanley gamesgametheoryandartificialintelligence |