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Search Algorithms in Artificial Intelligence
| Institution | Jomo Kenyatta University of Science and Technology |
| Course | Information Technolo... |
| Year | 3rd Year |
| Semester | Unknown |
| Posted By | Jeff Odhiambo |
| File Type | |
| Pages | 14 Pages |
| File Size | 229.63 KB |
| Views | 1329 |
| Downloads | 1 |
| Price: |
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Description
Buy "Search Algorithms in Artificial Intelligence" now and learn how to harness the power of AI to solve complex problems efficiently. This comprehensive book delves into various search algorithms, from uninformed (blind) search to informed (heuristic) search strategies. With clear explanations and detailed examples, you'll explore techniques such as breadth-first search, depth-first search, uniform-cost search, and the powerful A* search. Perfect for beginners and experienced professionals alike, this book provides valuable insights into the mechanisms that drive intelligent agents.
Discover the fascinating world of problem-solving agents, search spaces, and the intricacies of search trees. The book covers essential concepts like path cost, transition models, and optimal solutions, making it an indispensable resource for anyone looking to deepen their understanding of AI's core methodologies. "Search Algorithms in Artificial Intelligence" equips you with the knowledge to tackle real-world challenges using state-of-the-art search techniques, ensuring you stay ahead in the ever-evolving field of AI.
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