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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 ...

Glowworm Swarm Optimization (GSO) Algorithm ~xRay Pixy

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Glowworm Swarm Optimization (GSO) Video Timestamps: Introduction : 00:00 Glowworm Swarm Optimization Algorithm (GSO): 01:04 Glowworm Swarm Optimization Mathematical Model: 03:33 Conclusion: 08:40 Glowworms release excess energy as glow. Glowworms emit blue / green glow in the larval form. Glowworm eat other insects and many species also feed on fungus. Glowworms glow for different reasons: Trying to attract mates, Warning off predators' or Attracting other insects for food. Glowworm Swarm Optimization (GSO) Algorithm for solving Optimization Problems. Glowworm Swarm Optimization is introduced by Krishnanand and Ghoose in 2005. Glowworm Swarm Optimization is Nature inspired metaheuristic optimization algorithm. Glowworm Swarm Optimization mimic the lightening behavior of Glowworms in the nature. Glowworm Swarm Optimization is used in various areas such as Engineering, Robotics, Mathematics, Networking, and to solve various problems such as Scheduling problems, Vehicle routin...
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