Results 211 to 220 of about 127,162 (255)
O. V. Karelkina, V. A. Emelichev
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Distributed Nash Equilibrium Computation for Mixed-order Multi-player Games
2020 IEEE 16th International Conference on Control & Automation (ICCA), 2020Noticing that agents with different dynamics may work together, this paper considers Nash equilibrium computation for a class of games in which first-order integrator-type players and second-order integrator-type players interact in a distributed network.
Jizhao Yin, Maojiao Ye
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Capacity choice game in a multiserver queue: Existence of a Nash equilibrium
Naval Research Logistics, 2019In many congestion‐prone services, front‐line employees have discretion over the rate at which they serve customers. To evaluate the impact of queue pooling on their decisions, we model the situation as a two‐server, single‐queue symmetric capacity ...
Mor Armony, G. Roels, Hummy Song
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A Generalization of Weighted Congestion Game and its Nash Equilibrium Seeking
Cybersecurity and Cyberforensics Conference, 2018In this paper, a variation of the congestion situation and the associated weighted congestion games are considered. By using semi-tensor product of matrices, the structure and algebraic representation of resulted game are investigated.
Shuting Le, Yuhu Wu, Ximing Sun
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Generalized Nash Equilibrium Model of the Service Provisioning Problem in Multi-Cloud Competitions
2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2018With the development of cloud computing, heterogeneous service providers can publish services in the cloud market under the multi-cloud environment. As the cloud market expands, the relationship between service providers and users is changing.
Peini Liu +3 more
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Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium
AAAI Conference on Artificial IntelligenceLearning in zero-sum games studies a situation where multiple agents competitively learn their strategy. In such multi-agent learning, we often see that the strategies cycle around their optimum, i.e., Nash equilibrium.
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
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Computing Nash Equilibrium in Interdependent Defense Games
AAAI Conference on Artificial Intelligence, 2015Roughly speaking, Interdependent Defense (IDD) games, previously proposed, model the situation where an attacker wants to cause as much damage as possible to a network by attacking one of the sites in the network.
Hau Chan, Luis E. Ortiz
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Two-person simple bargaining games: the Nash solution
1977Definitions and assumptions We will first consider only vocal cooperative games. We make the following assumptions. The two players can achieve any payoff vector u = ( u 1 , u 2 ) within the payoff space P of the game, if they can agree which particular payoff vector u to adopt, i.e., if they can agree how to divide the payoffs between
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International Conference on Information Science and Applications, 2018
Seung-Mo Je, Jun-Ho Huh
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Seung-Mo Je, Jun-Ho Huh
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On equilibrium situations in the sense of Nash
The paper presents a theorem on the existence of Nash equilibria for non- cooperative games, if the sets of possible strategies are convex compact and subspaces of Banach spaces, but the utility function is continuous and quasiconcave.openaire +1 more source

