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Game Playing Algorithms in AI by N Khh is a document available to read on EtoBox.

The document discusses game playing in artificial intelligence, highlighting the importance of algorithms for decision-making in various types of games. It covers techniques such as Minimax search and alpha-beta pruning to improve search efficiency, as well as approaches like rule-based and machine learning systems. Additionally, it touches on other AI concepts including natural language processing, learning paradigms, discovery, analogy, neural network learning, and genetic learning.

Author
N Khh
Language
EN