Informed Search Algorithms in AI
| Institution | Jomo Kenyatta University of Science and Technology |
| Course | Information Technolo... |
| Year | 3rd Year |
| Semester | Unknown |
| Posted By | Jeff Odhiambo |
| File Type | |
| Pages | 7 Pages |
| File Size | 139.29 KB |
| Views | 2536 |
| Downloads | 0 |
| Price: |
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Description
Buy "Informed Search Algorithms in AI" now and learn how advanced search techniques can efficiently navigate large and complex search spaces. This comprehensive book explores informed search algorithms, such as Best-First Search and A* Search, which utilize heuristic functions to guide the search process. Through clear explanations and practical examples, you'll gain insights into how these algorithms use knowledge like path cost and proximity to the goal to find solutions more effectively. This makes the book an invaluable resource for both beginners and seasoned professionals in the field of artificial intelligence.
Discover the power of heuristic functions in optimizing search strategies and minimizing exploration. The book covers essential concepts such as admissibility, heuristic cost, and evaluation functions, providing a solid foundation for understanding the mechanisms behind informed search algorithms. With detailed discussions on the advantages and limitations of these techniques, "Informed Search Algorithms in AI" equips you with the knowledge to apply these methods to solve real-world problems, ensuring you stay ahead in the ever-evolving field of AI.
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