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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 ...
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Artificial Gorilla Troops Optimizer || STEP-BY-STEP || ~xRay Pixy

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Artificial Gorilla Troops Optimizer


Learn Artificial Gorilla Troops Optimizer Step-By-Step with Example.

Video Chapters: Artificial Gorilla Troops Optimizer

Introduction: 00:00
Gorilla Lifestyle and Behavior: 02:32
Artificial Gorilla Troops Optimizer Steps: 05:13
Step 01 - Algorithm Parameters: 06:51
Step 02 - Population Initialization: 07:17
Step 03 - Population Evaluation: 08:31
Step 04 - Position Update - Exploration Phase: 09:13
Step 05 - Updated Population Evaluation: 15:05
Step 06 - Fitness Values Comparision: 15:35
Step 07 - Select Best Solution: 15:45
Step 08 - Position Update - Exploitation Phase: 16:00
Step 09 - Updated Population Evaluation: 19:10
Step 10 - Fitness Values Comparision: 19:20
Step 11 - Select Best Solution: 19:25
Step 12 - Check Stopping Condition: 19:54
Step 13 - Display Best Solution: 20:02
Conclusion: 20:18

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PSO Python Code || Particle Swarm Optimization in Python || ~xRay Pixy

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