Verlag: Springer Verlag, New York, 2002
ISBN 10: 354043481X ISBN 13: 9783540434818
Sprache: Englisch
Anbieter: Doss-Haus Books, Redondo Beach, CA, USA
Hardcover. Zustand: Very Good. No Jacket. Hardcover 2002 library bound edition. Ex-library book with stamps and labels attached. Binding firm. Pages unmarked and clean. Laminated covers and text in very good condition. Series: Lecture Notes in Computer Science ;2311.[xi, 347 p. : ill. ; 24 cm].
Verlag: Springer Berlin / Heidelberg, 2002
ISBN 10: 354043481X ISBN 13: 9783540434818
Sprache: Englisch
Anbieter: Better World Books Ltd, Dunfermline, Vereinigtes Königreich
Erstausgabe
EUR 27,61
Anzahl: 1 verfügbar
In den WarenkorbZustand: Good. 1st Edition. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
Verlag: Springer Berlin Heidelberg, 2002
ISBN 10: 354043481X ISBN 13: 9783540434818
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This was the rst conference of a new series devoted to the e ective handling of soft issues in the design, development, and operation of computing systems. The conference brought together contributors from a range of relevant disciplines, including arti cial intelligence, information systems, software engineering, and systems engineering. The keynote speakers, Piero Bonissone, Ray Paul, Sir Tony Hoare, Michael Jackson, and Derek McAuley have interests and experience that collectively span all of these elds. Soft issues involve information or knowledge that is uncertain, incomplete, or contradictory. Examples of where such issues arise include: - requirements management and software quality control in software engine- ing, - con ict or multiple sources information management in information systems, - decision making/prediction in business management systems, - quality control in networks and user services in telecommunications, - traditional human rationality modeling in arti cial intelligence, - data analysis in machine learning and data mining, - control management in engineering. The concept of dealing with uncertainty became prominent in the arti cial intel- gence community nearly 20 years ago, when researchers realized that addressing uncertainty was an essential part of representing and reasoning about human knowledge in intelligent systems. The main methodologies that have emerged in this area are soft computing and computational intelligence.