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Mathematical Aspects of Artificial Intelligence: American Mathematical Society Short Course January 8-9, 1996 Orlando, Florida - Couverture rigide
Synopsis
There exists a history of great expectations and large investments involving Artificial Intelligence (AI). There are also notable shortfalls and memorable disappointments. One major controversy regarding AI is just how mathematical a field it is or should be. This text includes contributions that examine the connections between AI and mathematics, demonstrating the potential for mathematical applications and exposing some of the more mathematical areas within AI.The goal is to stimulate interest in people who can contribute to the field or use its results. Included is work by M. Newborn on the famous Deep Blue chess match. He discusses highly mathematical techniques involving graph theory, combinatorics and probability and statistics. G. Shafer offers his development of probability through probability trees with some of the results appearing here for the first time. M. Golumbic treats temporal reasoning with ties to the famous Frame Problem.His contribution involves logic, combinatorics and graph theory and leads to two chapters with logical themes. H. Kirchner explains how ordering techniques in automated reasoning systems make deduction more efficient. Constraint logic programming is discussed by C. Lassez, who shows its intimate ties to linear programming with crucial theorems going back to Fourier. V. Nalwa's work provides a brief tour of computer vision, tying it to mathematics-from combinatorics, probability and geometry to partial differential equations. All authors are gifted expositors and are current contributors to the field. The wide scope of the volume includes research problems, research tools and good motivational material for teaching.
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Mathematical Aspects of Artificial Intelligence: American Mathematical Society Short Course January 8-9, 1996 Orlando, Florida (Proceedings of Symposia in Applied Mathematics)
Edité par
Amer Mathematical Society, 1997
ISBN 10 : 0821806114
ISBN 13 : 9780821806111
Neuf
Couverture rigide
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Examines the connections between Artificial Intelligence (AI) and mathematics, demonstrating the potential for mathematical applications and exposing some of the more mathematical areas within AI. This book discusses mathematical techniques involving graph theory, combinatorics and probability and statistics. Editor(s): Hoffman, Frederick. Series: Proceedings of Symposia in Applied Mathematics. Num Pages: 288 pages. BIC Classification: PBW; UYA; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 260. Weight in Grams: 737. . 1997. Hardcover. . . . . N° de réf. du vendeur V9780821806111
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Mathematical Aspects of Artificial Intelligence: American Mathematical Society Short Course January 8-9, 1996 Orlando, Florida
Edité par
Amer Mathematical Society, 1997
ISBN 10 : 0821806114
ISBN 13 : 9780821806111
Neuf
Couverture rigide
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : Brand New. 275 pages. 10.50x7.50x1.00 inches. In Stock. N° de réf. du vendeur __0821806114
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Mathematical Aspects of Artificial Intelligence
Edité par
American Mathematical Society, US, 1998
ISBN 10 : 0821806114
ISBN 13 : 9780821806111
Neuf
Couverture rigide
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardback. Etat : New. There exists a history of great expectations and large investments involving Artificial Intelligence (AI). There are also notable shortfalls and memorable disappointments. One major controversy regarding AI is just how mathematical a field it is or should be. This text includes contributions that examine the connections between AI and mathematics, demonstrating the potential for mathematical applications and exposing some of the more mathematical areas within AI.The goal is to stimulate interest in people who can contribute to the field or use its results. Included is work by M. Newborn on the famous Deep Blue chess match. He discusses highly mathematical techniques involving graph theory, combinatorics and probability and statistics. G. Shafer offers his development of probability through probability trees with some of the results appearing here for the first time. M. Golumbic treats temporal reasoning with ties to the famous Frame Problem.His contribution involves logic, combinatorics and graph theory and leads to two chapters with logical themes. H. Kirchner explains how ordering techniques in automated reasoning systems make deduction more efficient. Constraint logic programming is discussed by C. Lassez, who shows its intimate ties to linear programming with crucial theorems going back to Fourier. V. Nalwa's work provides a brief tour of computer vision, tying it to mathematics-from combinatorics, probability and geometry to partial differential equations. All authors are gifted expositors and are current contributors to the field. The wide scope of the volume includes research problems, research tools and good motivational material for teaching. N° de réf. du vendeur LU-9780821806111
Acheter neuf
EUR 150,38
Livraison gratuite
Expédition depuis Royaume-Uni vers Etats-Unis
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Mathematical Aspects of Artificial Intelligence: American Mathematical Society Short Course January 8-9, 1996 Orlando, Florida (Proceedings of Symposia in Applied Mathematics)
Edité par
Amer Mathematical Society, 1998
ISBN 10 : 0821806114
ISBN 13 : 9780821806111
Neuf
Couverture rigide
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Examines the connections between Artificial Intelligence (AI) and mathematics, demonstrating the potential for mathematical applications and exposing some of the more mathematical areas within AI. This book discusses mathematical techniques involving graph theory, combinatorics and probability and statistics. Editor(s): Hoffman, Frederick. Series: Proceedings of Symposia in Applied Mathematics. Num Pages: 288 pages. BIC Classification: PBW; UYA; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 260. Weight in Grams: 737. . 1997. Hardcover. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9780821806111
Acheter neuf
EUR 146,39
Expédition à EUR 9,09
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Mathematical Aspects of Artificial Intelligence: American Mathematical Society Short Course January 8-9, 1996 Orlando, Florida (Proceedings of Symposia in Applied Mathematics)
Edité par
Amer Mathematical Society (edition ), 1998
ISBN 10 : 0821806114
ISBN 13 : 9780821806111
Ancien ou d'occasion
Couverture rigide
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. N° de réf. du vendeur 0821806114-8-1
Acheter D'occasion
EUR 162,97
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Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Mathematical Aspects of Artificial Intelligence
Edité par
American Mathematical Society, US, 1998
ISBN 10 : 0821806114
ISBN 13 : 9780821806111
Neuf
Couverture rigide
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardback. Etat : New. There exists a history of great expectations and large investments involving Artificial Intelligence (AI). There are also notable shortfalls and memorable disappointments. One major controversy regarding AI is just how mathematical a field it is or should be. This text includes contributions that examine the connections between AI and mathematics, demonstrating the potential for mathematical applications and exposing some of the more mathematical areas within AI.The goal is to stimulate interest in people who can contribute to the field or use its results. Included is work by M. Newborn on the famous Deep Blue chess match. He discusses highly mathematical techniques involving graph theory, combinatorics and probability and statistics. G. Shafer offers his development of probability through probability trees with some of the results appearing here for the first time. M. Golumbic treats temporal reasoning with ties to the famous Frame Problem.His contribution involves logic, combinatorics and graph theory and leads to two chapters with logical themes. H. Kirchner explains how ordering techniques in automated reasoning systems make deduction more efficient. Constraint logic programming is discussed by C. Lassez, who shows its intimate ties to linear programming with crucial theorems going back to Fourier. V. Nalwa's work provides a brief tour of computer vision, tying it to mathematics-from combinatorics, probability and geometry to partial differential equations. All authors are gifted expositors and are current contributors to the field. The wide scope of the volume includes research problems, research tools and good motivational material for teaching. N° de réf. du vendeur LU-9780821806111
Acheter neuf
EUR 142,54
Expédition à EUR 75,87
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
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