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Verlag: Addison-Wesley Longman, Incorporated, 2001
ISBN 10: 0201648660ISBN 13: 9780201648669
Anbieter: Better World Books, Mishawaka, IN, USA
Buch
Zustand: Good. 4th. Used book that is in clean, average condition without any missing pages.
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Gebraucht ab EUR 6,79
Verlag: Addison-Wesley Longman, Incorporated, 2004
ISBN 10: 0321263189ISBN 13: 9780321263186
Anbieter: Better World Books, Mishawaka, IN, USA
Buch
Zustand: Good. 5th. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
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Gebraucht ab EUR 8,55
Verlag: Benjamin-Cummings Publishing Company, 1997
ISBN 10: 0805311963ISBN 13: 9780805311969
Anbieter: Better World Books, Mishawaka, IN, USA
Buch
Zustand: Good. 3rd Edition. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
Verlag: Elsevier Science & Technology, 1994
ISBN 10: 0124595707ISBN 13: 9780124595705
Anbieter: Better World Books, Mishawaka, IN, USA
Buch Erstausgabe
Zustand: Very Good. 1st Edition. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
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Neu ab EUR 97,87
Gebraucht ab EUR 6,78
Mehr entdecken Hardcover Erstausgabe
Verlag: Benjamin-Cummings Pub Co
Zustand: Good. Good condition. 2nd edition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.
Verlag: Benjamin-Cummings Publishing Company, Subs of Addison Wesley Longman, Inc, 1988
ISBN 10: 0805301399ISBN 13: 9780805301397
Anbieter: Ammareal, Morangis, Frankreich
Buch
Softcover. Zustand: Très bon. Ancien livre de bibliothèque. Edition 1988. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1988. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Gebraucht ab EUR 3,18
Verlag: Benjamin-Cummings Pub Co, 1992
ISBN 10: 0805347801ISBN 13: 9780805347807
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
Buch
Paperback. Zustand: Good. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine.
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Gebraucht ab EUR 6,76
Verlag: AAAI Press / The MIT Press, Menlo Park / Cambridge / London, 1995
ISBN 10: 0262621010ISBN 13: 9780262621014
Anbieter: PsychoBabel & Skoob Books, Didcot, Oxfordshire, OXON, Vereinigtes Königreich
Buch
Paperback. Zustand: Very Good. Paperback in very good condition. The leading edges of the cover are slightly warped. Small stamp on the page block head; minor score on the page block foot. All pages are clean and clear. CM. Used.
Mehr Angebote von anderen Verkäufern bei ZVAB
Gebraucht ab EUR 21,69
Verlag: Pearson, 2009
ISBN 10: 0132090015ISBN 13: 9780132090018
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
Buch
Paperback. Zustand: Good. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine.
Mehr Angebote von anderen Verkäufern bei ZVAB
Gebraucht ab EUR 118,99
Verlag: Springer International Publishing, 2022
ISBN 10: 3030718751ISBN 13: 9783030718756
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Knowing our World: An Artificial Intelligence Perspective considers the methodologies of science, computation, and artificial intelligence to explore how we humans come to understand and operate in our world. While humankind's history of articulating ideas and building machines that can replicate the activity of the human brain is impressive, Professor Luger focuses on understanding the skills that enable these goals.Based on insights afforded by the challenges of AI design and program building,Knowing our World proposes a foundation for the science of epistemology. Taking an interdisciplinary perspective, the book demonstrates that AI technology offers many representational structures and reasoning strategies that support clarification of these epistemic foundations.This monograph is organized in three Parts; the first three chapters introduce the reader to the foundations of computing and the philosophical background that supports the AI tradition. These three chapters describe the origins of AI, programming as iterative refinement, and the representations and very high-level language tools that support AI application building.The book's second Part introduces three of the four paradigms that represent research and development in AI over the past seventy years: the symbol-based, connectionist, and complex adaptive systems. Luger presents several introductory programs in each area and demonstrates their use.The final three chapters present the primary theme of the book: bringing together the rationalist, empiricist, and pragmatist philosophical traditions in the context of a Bayesian world view. Luger describes Bayes' theorem with a simple proof to demonstrate epistemic insights. He describes research in model building and refinement and several philosophical issues that constrain the future growth of AI. The book concludes with his proposal of the epistemic stance of an active, pragmatic, model-revising realism.
Verlag: Springer International Publishing, 2021
ISBN 10: 3030718727ISBN 13: 9783030718725
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Knowing our World: An Artificial Intelligence Perspective considers the methodologies of science, computation, and artificial intelligence to explore how we humans come to understand and operate in our world. While humankind's history of articulating ideas and building machines that can replicate the activity of the human brain is impressive, Professor Luger focuses on understanding the skills that enable these goals.Based on insights afforded by the challenges of AI design and program building,Knowing our World proposes a foundation for the science of epistemology. Taking an interdisciplinary perspective, the book demonstrates that AI technology offers many representational structures and reasoning strategies that support clarification of these epistemic foundations.This monograph is organized in three Parts; the first three chapters introduce the reader to the foundations of computing and the philosophical background that supports the AI tradition. These three chapters describe the origins of AI, programming as iterative refinement, and the representations and very high-level language tools that support AI application building.The book's second Part introduces three of the four paradigms that represent research and development in AI over the past seventy years: the symbol-based, connectionist, and complex adaptive systems. Luger presents several introductory programs in each area and demonstrates their use.The final three chapters present the primary theme of the book: bringing together the rationalist, empiricist, and pragmatist philosophical traditions in the context of a Bayesian world view. Luger describes Bayes' theorem with a simple proof to demonstrate epistemic insights. He describes research in model building and refinement and several philosophical issues that constrain the future growth of AI. The book concludes with his proposal of the epistemic stance of an active, pragmatic, model-revising realism.