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Artificial Intelligence: Search Methods In PROLOG

In the specialized field of Artificial Intelligence in computer science, search methods are being researched so as to find a path and/or a shortest path from a specific start node to another specified destination node within a graph/tree/network. There are a number of algorithms available for this purpose. Broadly these methods are divided into two classes: Uninformed Search and Informed search Methods. Uninformed search method includes Breadth First Search (BFS) method and Depth First Search method (DFS). Informed search method includes Hill Climbing search method, Steepest Hill Climbing search method, Best First Search method, and A* search method. PROLOG (PROgramming in LOGic) has emerged as an easy to learn tool for coding these algorithms.

File Size: 1415 KB

Print Length: 81 pages

Publisher: R.P.Suri (November 18, 2013)

Publication Date: November 18, 2013

Sold by:  Digital Services LLC

Language: English


Text-to-Speech: Enabled

X-Ray: Not Enabled

Word Wise: Not Enabled

Lending: Not Enabled

Enhanced Typesetting: Not Enabled

Best Sellers Rank: #1,198,386 Paid in Kindle Store (See Top 100 Paid in Kindle Store) #17 in Books > Computers & Technology > Programming > Languages & Tools > Prolog #178 in Books > Computers & Technology > Computer Science > AI & Machine Learning > Expert Systems #1613 in Kindle Store > Kindle Short Reads > Two hours or more (65-100 pages) > Computers & Technology

This book is highly specialized: a list of artificial intelligence search algorithms. Specifically the source code for those algorithms. If that is what you want this book is recommended.

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