Decision based Cognitive Learning using Strategic Game Theory

using game theory techniques in self-organizing maps training

شبکه خود سازمانده پرکاربردترین شبکه عصبی برای انجام خوشه بندی و کوانتیزه نمودن برداری است. از زمان معرفی این شبکه تاکنون، از این روش در مسائل مختلف در حوزه های گوناگون استفاده و توسعه ها و بهبودهای متعددی برای آن ارائه شده است. شبکه خودسازمانده از تعدادی سلول برای تخمین تابع توزیع الگوهای ورودی در فضای چندبعدی استفاده می کند. احتمال وجود سلول مرده مشکلی اساسی در الگوریتم شبکه خودسازمانده به حسا...

Game Theory Based Spectrum Sensing Technique Using Cognitive Radio Networks

In Cognitive Radio Networks, though energy detection technique is simple with short sensing time, its performance is poor under low Signal to Noise Ratio (SNR) conditions. Hence in this paper, we propose to design an optimized adaptive spectrum sensing technique Using Game Theory Model for Cognitive Radio Networks. Initially, the secondary users decide the sensing technique to be applied based ...

Game Theory and Strategic Complexity

Ranking Efficient Decision Making Units Using Cooperative Game Theory Based on SBM Input-Oriented Model and Nucleolus Value

In evaluating the efficiency of decision making units (DMUs) by Data Envelopment Analysis (DEA) models, may be more than one DMU has an efficiency score equal to one. Since ranking of efficient DMUs is essential for decision makers, therefore, methods and models for this purpose are presented. One of ranking methods of efficient DMUs is cooperative game theory. In this study, Lee and Lozano mod...

Decision Theory III - Game Theory

We briefly introduce and discuss two two-player non-zero-sum games, mainly to illustrate that such games are substantially more complex to investigate than zero-sum games. Actually, the key aspect of such games is that the sum of the pay-offs to the two players is not constant over all pairs of strategies, as constant sum games are equivalent to zero-sum games (think about this; one can imagine...