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Types of Goal-Based Agents Explained by promhkl2004 is a document available to read on EtoBox.
Chapter 3 discusses problem-solving through search in goal-based agents within fully observable, deterministic environments. It outlines the components of search problems including initial state, actions, transition model, goal state, and path cost, and provides examples such as the Romania problem and the 8-puzzle. The chapter emphasizes the importance of constructing a search tree and handling repeated states to find optimal solutions efficiently.
- Author
- promhkl2004
- Language
- EN