Mixed strategy reasoning — an approach for resolution-based verification of OCL constraints in UML models

2007 ◽  
Vol 2 (Supplement 1) ◽  
pp. 107-119 ◽  
Author(s):  
Imre Kilián
Keyword(s):  
Mixed Strategy ◽  
Uml Models

Effective UML models by using database system

2013 ◽  
Vol 1 (1) ◽  
pp. 1-3
Author(s):  
Faisal Halim ◽  
◽  
Rizal Muttaqin ◽  
Keyword(s):  
Database System ◽  
Uml Models

Teaching UML Models with FLOSS Projects

2020 ◽  
Author(s):  
Fernanda Gomes Silva ◽  
Moara Sousa Brito Lessa ◽  
Nádia da Luz Lopes ◽  
Christina von Flach G. Chavez
Keyword(s):  
Uml Models

scholarly journals Entangled and correlated photon mixed strategy for social decision making

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shion Maeda ◽  
Nicolas Chauvet ◽  
Hayato Saigo ◽  
Hirokazu Hori ◽  
Guillaume Bachelier ◽  
...  
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Mixed Strategy ◽  
Evolutionary Game ◽  
Slot Machines ◽  
Decision Strategy ◽  
Social Infrastructure ◽  
Positive Effects ◽  
Social Decision Making ◽  
The Given

AbstractCollective decision making is important for maximizing total benefits while preserving equality among individuals in the competitive multi-armed bandit (CMAB) problem, wherein multiple players try to gain higher rewards from multiple slot machines. The CMAB problem represents an essential aspect of applications such as resource management in social infrastructure. In a previous study, we theoretically and experimentally demonstrated that entangled photons can physically resolve the difficulty of the CMAB problem. This decision-making strategy completely avoids decision conflicts while ensuring equality. However, decision conflicts can sometimes be beneficial if they yield greater rewards than non-conflicting decisions, indicating that greedy actions may provide positive effects depending on the given environment. In this study, we demonstrate a mixed strategy of entangled- and correlated-photon-based decision-making so that total rewards can be enhanced when compared to the entangled-photon-only decision strategy. We show that an optimal mixture of entangled- and correlated-photon-based strategies exists depending on the dynamics of the reward environment as well as the difficulty of the given problem. This study paves the way for utilizing both quantum and classical aspects of photons in a mixed manner for decision making and provides yet another example of the supremacy of mixed strategies known in game theory, especially in evolutionary game theory.

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