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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 ...

Intelligent Traffic Management Using || AI & Metaheuristics || ~xRay Pixy

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Hybrid Artificial Intelligence and Metaheuristics for Smart City TRafci Management Problem Video Chapters: 00:00 Introduction 00:40 Smart Cities 01:14 Traditional Methods for Traffic Management 02:12 Hybrid Approach AI and Metaheuristics 02:47 STEPS for Hybrid  Traffic Management System 08:40 Advantages of Smart Traffic Management System 09:33 Conclusion

Hybrid Approaches - Artificial Intelligence and Metaheuristic Algorithm ...

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Learn Artificial Intelligence and Metaheuristic Algorithm Real Life Applications Video Chapters: AI and Metaheuristics  00:00 Introduction 00:55 Metaheuristics 01:49 Artificial Intelligence 03:11 AI and Metaheuristics Collaboration 05:21 Robot Path Planning EXAMPLE 1 09:51 Route Optimization EXAMPLE 2 12:10 Outro

Multi-Objective Particle Swarm Optimization || Numerical Example || Step...

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Learn Multi-Objective Particle Swarm Optimization Step-By-Step. Video Chapters: Multi-Objective PSO 00:00 Introduction 00:46 Multi-Objective Optimization 02:55 MOO Applications 04:00 Example 1 Multi-Objective Optimization Problem 07:26 Example 2 Multi-Objective Optimization Problem 08:25 Methods for Multi-Objective Optimization 09:50 Multi-Objective Particle Swarm Optimization 12:00 Example 3 Multi-Objective Optimization Problem 17:58 STEPS for Multi-Objective Particle Swarm Optimization 21:55 Conclusion 

Capuchin Search Algorithm || Step-By-Step || with Example ~xRay Pixy

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Learn the Capuchin Search Algorithm Step-By-Step with Example 00:00 Introduction 01:04 About Capuchin 02:57 Leader 04:46 Capuchin Movements 05:42 Capuchin Strategies  07:37 Capuchin Search Algorithm Steps 23:55 Conclusion
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