About this document
Heuristics in AI: Uninformed Search Methods by anthonio.alex.d.costa is a document available to read on EtoBox.
The document discusses uninformed search strategies and heuristics in artificial intelligence, focusing on how heuristics can estimate the cheapest path cost to a goal state. It explains various heuristic functions, such as Greedy Best First Search and A* Search, and emphasizes the importance of admissibility, consistency, and dominance in choosing effective heuristics. Additionally, it introduces the concept of constraint relaxation to generate admissible heuristics for problems like the 8 puzzle problem.
- Author
- anthonio.alex.d.costa
- Language
- EN