One of the more difficult problems for artificial intelligence research involves modelling commonsense reasoning. Traditional models have great difficulties in capturing the flexible and robust nature of commonsense reasoning. This book tackles the problem by adopting innovative approaches that use models consisting of a network of simple, interconnected elements, called neural networks. Using such models, rule-based algorithm reasoning and similarity-based comparison reasoning can be integrated.
"synopsis" may belong to another edition of this title.
£ 13.03 shipping from U.S.A. to United Kingdom
Destination, rates & speedsSeller: Bookmonger.Ltd, HILLSIDE, NJ, U.S.A.
Hardcover. Condition: Very Good. Seller Inventory # mon0000430968
Quantity: 3 available
Seller: Buchpark, Trebbin, Germany
Condition: Gut. Zustand: Gut | Seiten: 224 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 41457992/203
Quantity: 4 available
Seller: More Than Words, Waltham, MA, U.S.A.
Condition: Good. . . All orders guaranteed and ship within 24 hours. Before placing your order for please contact us for confirmation on the book's binding. Check out our other listings to add to your order for discounted shipping. Seller Inventory # WAL-T-3c-01809
Quantity: 1 available
Seller: Bingo Used Books, Vancouver, WA, U.S.A.
Hardcover. Condition: Fine. Dust Jacket Condition: Fine. hardcover in fine condition with fine dust jacket. Seller Inventory # 108943
Quantity: 1 available