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Nash Equilibrium In Game Theory ~xRay Pixy

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 Video Link  CLICK HERE... Learn Nash Equilibrium In Game Theory Step-By-Step Using Examples. Video Chapters: Nash Equilibrium  00:00 Introduction 00:19 Topics Covered 00:33 Nash Equilibrium  01:55 Example 1  02:30 Example 2 04:46 Game Core Elements 06:41 Types of Game Strategies 06:55  Prisoner’s Dilemma  07:17  Prisoner’s Dilemma Example 3 09:16 Dominated Strategy  10:56 Applications 11:34 Conclusion The Nash Equilibrium is a concept in game theory that describes a situation where no player can benefit by changing their strategy while the other players keep their strategies unchanged.  No player can increase their payoff by changing their choice alone while others keep theirs the same. Example : If Chrysler, Ford, and GM each choose their production levels so that no company can make more money by changing their choice, it’s a Nash Equilibrium Prisoner’s Dilemma : Two criminals are arrested and interrogated separately. Each has two ...

What is a meta heuristic algorithm for?

  Metaheuristic  means a High-level problem-independent algorithmic framework that is developed for the optimization algorithm. Metaheuristic algorithms  find the best solution out of all possible solutions of an optimization. I discussed some Meta-heuristic algorithm like: Grey Wolf Optimization (GWO) Algorithm:  GWO is a metaheuristic proposed by Mirjaliali Mohammad and Lewis, 2014. GWO is inspired by the social hierarchy and the hunting technique of Grey Wolves Bat Algorithm:  The  Bat algorithm  is a metaheuristic algorithm for global optimization. It was inspired by the echolocation behavior of microbats. Cuckoo Search Algorithm: Cuckoo Search is a n ature-inspired  algorithm , based on the brood reproductive strategy of cuckoo birds to increase their population. Meta-heuristic Algorithms
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