Results 11 to 20 of about 679,623 (334)
Landscape and flux for quantifying global stability and dynamics of game theory. [PDF]
PLoS ONE, 2018 Game theory has been widely applied to many research areas including economics, biology and social sciences. However, it is still challenging to quantify the global stability and global dynamics of the game theory.
Li Xu, Jin Wang
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Economics Letters, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Brock, W.A., de Zeeuw, A.J.
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Cooperation in Public Goods Games: Stay, But Not for Too Long [PDF]
Games, 2017 Cooperation in repeated public goods game is hardly achieved, unless contingent behavior is present. Surely, if mechanisms promoting positive assortment between cooperators are present, then cooperators may beat defectors, because cooperators would ...
Lucas Wardil, Marco Antonio Amaral
doaj +4 more sources
Large Nonanonymous Repeated Games [PDF]
Games and Economic Behavior, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nabil I. Al-Najjar, Rann Smorodinsky
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Anti-Honeypot Enabled Optimal Attack Strategy for Industrial Cyber-Physical Systems
IEEE Open Journal of the Computer Society, 2020 Honeypots have been widely used in the security community to understand the cyber threat landscape, for example to study unauthorized penetration attempts targeting industrial cyber-physical systems (ICPS) and observing the behaviors in such activities ...
Beibei Li +5 more
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Research on Repeated Quantum Games with Public Goods under Strong Reciprocity
Axioms, 2023 We developed a repeated quantum game of public goods by using quantum entanglement and strong reciprocity mechanisms. Utilizing the framework of quantum game analysis, a comparative investigation incorporating both entangled and non-entangled states ...
Simo Sun +3 more
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A Secure Trust Method for Multi-Agent System in Smart Grids Using Blockchain
IEEE Access, 2021 This paper proposes a blockchain based trust management method for agents in a multi-agent system (MAS). In this work, three objectives are achieved: trust, cooperation and privacy.
Rabiya Khalid +5 more
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WRFMR: A Multi-Agent Reinforcement Learning Method for Cooperative Tasks
IEEE Access, 2020 Multi-agent reinforcement learning (MARL) for cooperative tasks has been extensively studied in recent years. The balance of exploration and exploitation is crucial to MARL algorithms' performance in terms of the learning speed and the quality of the ...
Hui Liu, Zhen Zhang, Dongqing Wang
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Repeated signaling games [PDF]
Games and Economic Behavior, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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IEEE Access, 2023 The fifth-generation (5G) wireless cellular networks aim to increase the users’ capacities and quality of experience as well as to integrate different wireless bands and modes of access.
Mennatallah A. Rostom +3 more
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