Game Theory in Artificial Intelligence - Video

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0:05 What is Game Theory?
0:55 Game Theory & AI
1:48 Algorithms for Decision-Making
7:22 Lesson Summary

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Instructor Prashant Mishra Show bio

Prashant holds a Bachelors Degree in Computer Science and Engineering.

Video Summary for Game Theory in Artificial Intelligence

Game theory is about making rational choices in multi-agent situations where decisions affect other participants.

This video explains how game theory applies to AI development beyond just digital games, extending to GANs and manipulation-resistant systems.

The Minimax algorithm, one of AI's oldest decision-making tools, designates players as "Max" (choosing maximum values) and "Min" (choosing minimum values) who alternate decisions in a tree structure.

Alpha-Beta Pruning improves on Minimax by avoiding unnecessary node exploration, making the decision process more efficient.

Alpha starts at negative infinity
Beta starts at positive infinity
Search branches are pruned when alpha becomes greater than or equal to beta

Game theory, invented by von Neumann, remains fundamental to AI applications whenever multiple agents interact in problem-solving scenarios.

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