Bayesian Nash equilibria using extended Werner-like states

Alid-Vaccarezza, M.; Soto, Macarena

doi:10.1007/s11128-016-1387-8

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…Hartline et al [22] discussed the classical economic theory of Bayesian from the perspective of algorithms and approximations. In order to study quantum strategies in incomplete games, Alid-Vaccarezza et al [23] proposed a game theory form based on multi-sector probability matrix. Hougaard et al [24] proposed Nash equilibria to resolve the minimum cost spanning tree model.…”

Section: Decision-making Of the Schemementioning

confidence: 99%

Configuration Equilibrium Model of Product Variant Design Driven by Customer Requirements

et al. 2019

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In view of the dynamic change of customer requirements (CRs) during the process of product use, in this paper we propose a Bayesian Nash equilibrium configuration model for product variant design driven by CRs. By analyzing CRs, the complete variant requirements of the products can be obtained. Combined with modularization and parameterization variant design methods, a parametric variant instance is proposed. Since cost and delivery time are affected by the product variant design, firms and customers are established as two decision-making bodies, and Bayesian Nash theory is introduced to the product configuration. The theory takes the product cost and customer satisfaction as the payoff function of the game, and based on the threshold value search of the customer satisfaction it determines the strategy set of the two parties. The Nash equilibrium solution equation is established and solved by a simulated annealing algorithm. The optimal product configuration scheme satisfying the interests of both sides of the game is obtained. Finally, the automatic guided vehicle (AGV) is taken as an example to illustrate the effectiveness and practicability of the method.

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Section: Decision-making Of the Schemementioning

confidence: 99%