Results 11 to 20 of about 685,240 (295)
Evolutionary Games and Dynamics in Public Goods Supply with Repetitive Actions
Based on a tripartite game model among suppliers of public goods, consumers, and the government, a tripartite repeated game model is constructed to analyze the evolution mechanism of which suppliers supply at low prices, consumers purchase, and the ...
Simo Sun +3 more
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Renegotiation in repeated games [PDF]
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Farrell, Joseph, Maskin, Eric
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Research on Repeated Quantum Games with Public Goods under Strong Reciprocity
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
doaj +1 more source
Repeated Games with Bonuses [PDF]
The authors discuss a model of learning and unlearning in infinitely repeated games, in which player 1 receives a bonus, if he plays the same action as in the previous stage. The expected average reward is used as a performance (criterion) measure. The authors show that the game has a value and give conditions for the existence of the so-called simple ...
Schoenmakers, G. +3 more
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A Secure Trust Method for Multi-Agent System in Smart Grids Using Blockchain
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
doaj +1 more source
Anti-Honeypot Enabled Optimal Attack Strategy for Industrial Cyber-Physical Systems
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
doaj +1 more source
Bayesian Repeated Games and Reputation [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Salomon, Antoine, Forges, Françoise
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WRFMR: A Multi-Agent Reinforcement Learning Method for Cooperative Tasks
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]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Large Nonanonymous Repeated Games [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nabil I. Al-Najjar, Rann Smorodinsky
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