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An Entropy-Based Framework for Hybrid Coalitions in Game Theory—Part I: Human Arbitration [PDF]
EntropyClassical Game Theory underpins much of AI and multi-agent research, but hybrid Human–AI systems require a framework in which execution authority can alternate within a digital environment.
Salomé A. Sepúlveda-Fontaine +1 more
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Molecules, 2023 This paper reviews graph-theory-based methods that were recently developed in our group for post-processing molecular dynamics trajectories. We show that the use of algorithmic graph theory not only provides a direct and fast methodology to identify ...
Sana Bougueroua +4 more
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Multi-Agent Reinforcement Learning in Games: Research and Applications [PDF]
BiomimeticsBiological systems, ranging from ant colonies to neural ecosystems, exhibit remarkable self-organizing intelligence. Inspired by these phenomena, this study investigates how bio-inspired computing principles can bridge game-theoretic rationality and ...
Haiyang Li +5 more
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From Nash Equilibria to Chain Recurrent Sets: An Algorithmic Solution Concept for Game Theory
Entropy, 2018 In 1950, Nash proposed a natural equilibrium solution concept for games hence called Nash equilibrium, and proved that all finite games have at least one.
Christos Papadimitriou +1 more
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MathematicsWith the advent of big data, the swift advancement of diverse algorithmic technologies has enhanced the transaction efficiency of the e-commerce business.
Yan Guo, Jiajun Lin, Weiqing Zhuang
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The Shapley Value of Tuples in Query Answering [PDF]
Logical Methods in Computer Science, 2021 We investigate the application of the Shapley value to quantifying the contribution of a tuple to a query answer. The Shapley value is a widely known numerical measure in cooperative game theory and in many applications of game theory for assessing the ...
Ester Livshits +3 more
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Toward Multi-Agent Algorithmic Recourse
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 The recent adoption of machine learning as a tool in real-world decision making has spurred interest in potential harm caused by these methods. Providing those negatively impacted by decisions made by machine learning models with ways to change those ...
Andrew O'Brien, Edward Kim
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Playing Games with Algorithms: Algorithmic Combinatorial Game Theory [PDF]
, 2001 Combinatorial games lead to several interesting, clean problems in algorithms and complexity theory, many of which remain open. The purpose of this paper is to provide an overview of the area to encourage further research. In particular, we begin with general background in combinatorial game theory, which analyzes ideal play in perfect-information ...
Demaine, Erik D., Hearn, Robert A.
openaire +4 more sources
Two-State Alien Tiles: A Coding-Theoretical Perspective
Mathematics, 2022 Most studies on the switching game Lights Out and its variants focus on the solvability of given games or the number of solvable games, but when the game is viewed in a coding-theoretical perspective, more interesting questions with special ...
Hoover H. F. Yin +4 more
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The Impact of Problem-Based Serious Games on Learning Motivation
IEEE Access, 2022 Students’ motivation in computer graphic courses is a challenge for educators. Computer courses entail abstract notions and algorithmic features, and these difficulties affect the students’ motivation.
Meisam Moradi +1 more
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