Titlebook: Applications of Game Theory in Deep Learning; Tanmoy Hazra,Kushal Anjaria,Akshara Kumari Book 2024 The Editor(s) (if applicable) and The A

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ABC ANALYSIS OR ABC CLASSIFICATIONe emphasis to stability and fairness of solution. This chapters presents a number of coordination games, cooperative games, and theoretical concepts of the cooperative games. The chapter also discusses various real-life applications of cooperative game theory.

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Cooperative Game Theory,e emphasis to stability and fairness of solution. This chapters presents a number of coordination games, cooperative games, and theoretical concepts of the cooperative games. The chapter also discusses various real-life applications of cooperative game theory.

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https://doi.org/10.1007/978-3-031-54653-2CNN; Deep Learning; Artificial neural network; Game theory; Reinforcement Learning; Cooperative game theo

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ACCOUNTING SYSTEM IMPLICATIONS OF TOCayers cannot form coalitions, and they cannot also make agreements. Noncooperative game theory is used in the analysis of various real-world problems, including business competition, auctions, pricing decisions, international relations, and many other strategic interactions. The solutions includes t

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M. Michael Umble,Elisabeth J. Umble machine learning (ML), the deep learning (DL) notion initially emerged in 2006. To understand several applications of game theory in deep neural networks (DNNs), first let us go through some basic concepts of DL and game theory. Deep learning techniques are a subset of machine learning that is able