Results 11 to 20 of about 136 (103)
Learning Automata with Artificial Reflecting Barriers in Games with Limited Information
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 This paper deals with the problem of solving stochastic games (which have numerous business and economic applications), using the interesting tools of Learning Automata (LA), the precursors to Reinforcement Learning (RL).
Ismail Hassan +2 more
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Spike-based decision learning of Nash equilibria in two-player games. [PDF]
PLoS Computational Biology, 2012 Humans and animals face decision tasks in an uncertain multi-agent environment where an agent's strategy may change in time due to the co-adaptation of others strategies.
Johannes Friedrich, Walter Senn
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Research on collision-preventing decisions of oncoming vehicles
Advances in Mechanical Engineering, 2016 An emergency collision-preventing model is proposed for two vehicles driving from opposite directions. To study the impact of drivers’ strategies on traffic safety in this model, the relevant knowledge of game theory has been introduced.
Hongfei Liu, Ligang Wang, Huan Liu
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Optimal Choice of Enterprise’s Production Strategy under Constraints of Carbon Quota
International Journal of Computational Intelligence Systems, 2018 After analyzing the enterprise’s production strategy under the constraints of carbon quota, this paper proposes new mathematical models aiming for the optimal choice of enterprise’s production strategy under the monopoly and competitive environments ...
Xiping Zheng +3 more
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Energy Management Based on Demand-Side Pricing: A Supermodular Game Approach
IEEE Access, 2017 This paper proposes a pricing strategy for energy management in the electricity market composed of one generation company, multiple competing utility companies, and consumers with heating, ventilation, and air conditionings, which participate in demand ...
Kai Ma +4 more
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MathematicsThe Nash equilibrium is a central concept in game theory, widely used across economics, social sciences, computer science, and artificial intelligence. However, computing Nash equilibria, especially in multi-player games, is a complex and computationally
Jiajia Yang +3 more
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A game theoretic approach to balance privacy risks and familial benefits
Scientific Reports, 2023 As recreational genomics continues to grow in its popularity, many people are afforded the opportunity to share their genomes in exchange for various services, including third-party interpretation (TPI) tools, to understand their predisposition to health
Jia Guo +7 more
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Colloquium Humanarum, 2016 Game Theory and Nash equilibrium, are one of the great mathematical legacy of the twentieth century, it brings concepts widely used around the world in various fields of knowledge. However, usually the examples and solutions of their applicability come
Alexandre Godinho Bertoncello +1 more
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A Matching Model for Ride-Sharing: A Non-Cooperative Game Approach Between Drivers and Riders
Smart CitiesThis study proposes an optimal matching problem between drivers and riders as a generalised Nash equilibrium problem, which finds a solution where no drivers and riders have the incentive to change their strategy. The proposed model is formulated as a (D
Hiroshi Shimamoto
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Games, 2017 This paper generalises the Hawk-Dove evolutionary game by introducing cost sharing ratios for both players, and applies the generalised Hawk-Dove model to conflict management in projects through investigating the stability of Nash equilibria.
Sheryl Le Chang, Mikhail Prokopenko
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