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Understanding Constraint Satisfaction Problems by N Dhanunjaya Rao Borra is a document available to read on EtoBox.

The document discusses adversarial search and constraint satisfaction problems (CSPs) in artificial intelligence, detailing the formulation and solution strategies for CSPs, including backtracking and local search. It also covers game playing techniques such as the minimax algorithm and alpha-beta pruning for optimizing decision-making in adversarial games. Additionally, it introduces knowledge-based agents and the Wumpus World as a framework for knowledge representation and reasoning.

Author
N Dhanunjaya Rao Borra
Language
EN