artificial intelligence learning environments (26 résultats)

Paperback. Etat : Very Good. Very Good - Crisp, clean, unread book with some shelfwear/edgewear, may have a remainder mark - NICE PAPERBACK Standard-sized.

Trade Paperback. Etat : Very Good. No Jacket. First Edition. 162 pp. First printing. The lightest of rubbing to the cover edges. The binding is tight and square, and the text is clean.

paperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Hardcover. Etat : Très bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 1999. 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. Slight signs of wear on the cover. Edition 1999. Ammareal gives back up to 15% of this item's net price to charity organizations.

Broschiert. Etat : Gut. 439 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 730.

Trade Paperback. First Printing. VG+ condition.

Softcover. Etat : Bon. Ancien livre de bibliothèque avec équipements. Edition 1987. Tome 1. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 1987. Volume 1. Ammareal gives back up to 15% of this item's net price to charity organizations.

Hardcover. Etat : Good. PB/pub.1990/Gd. condition/162 pages - Contains a characterization of the cognitive theory that informs the design of tutors in the domains of introductory LISP programming, high geometry, and introduc tory high school algebra. [KN42448 2]. Book.

Broschiert. Etat : Gut. 439 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 740.

Paperback. Etat : Very Good-. Etat de la jaquette : No Dust Jacket. First Edition; Reprint. Light wear to spine, covers and corners. Back cover corner with crease line. Some block pages with a fold. Foxing on title page and book-block edges. ; Slight wear to spine, covers and corners; Book; Octavo; XIV, 439 pages.

Etat : Gut. 1997. 312 Seiten Anderes Cover. Von 1997. Innerhalb Deutschlands Versand je nach Größe/Gewicht als Großbrief bzw. Bücher- und Warensendung mit der Post oder per DHL. Rechnung mit MwSt.-Ausweis liegt jeder Lieferung bei. Sprache: Englisch Gewicht in Gramm: 408 Taschenbuch, Größe: 15.5 x 1.8 x 23.5 cm.

soft covers very good to fine condition.

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Paperback. Etat : Brand New. 1st edition. 168 pages. 9.50x6.25x0.50 inches. In Stock.

Etat : as new. Cambridge, Mass. : MIT Press, 1990. Paperback. 168 pp. - These essays explore cognitively oriented empirical trials that use AI programming as a modeling methodology and that can provide valuable insight into a variety of learning problems. New perspectives and techniques are shaping the field of computer-aided instruction. These essays explore cognitively oriented empirical trials that use AI programming as a modeling methodology and that can provide valuable insight into a variety of learning problems. Drawing on work in cognitive theory, plan-based program recognition, qualitative reasoning, and cognitive models of learning and teaching, this exciting research covers a wide range of alternatives to tutoring dialogues. Condition : as new copy. ISBN 9780262530903. Keywords : COMPUTER STUDIES, artificial intelligence.

Etat : Gut. Auflage: 1. 168 Seiten nice book ex Library Sprache: Englisch Gewicht in Gramm: 469 23,9 x 16,3 x 1,3 cm, Taschenbuch.

Paperback. Robert W. Lawler / Masoud Yazdani, Intellect Ltd. Author: Robert W. Lawler / Masoud YazdaniBinding: PaperbackPublished: Intellect Ltd, 1987Condition:Book: Very goodJacket: N/APages: GoodMarkings: No markingsArtificial Intelligence And Education Volume One: Learning Environments & Tutoring Systems presents a comprehensive examination of the intersection between artificial intelligence and pedagogical practices. This academic work details the design and implementation of intelligent learning environments, illustrating how AI technologies can enhance educational outcomes. It further chronicles the development of sophisticated tutoring systems, arguing for their transformative potential in personalized instruction. The volume instructs readers on the theoretical underpinnings and practical applications of AI within educational contexts, offering valuable insights for researchers and practitioners alike. Paperback.

Etat : New. In.

PF. Etat : New.

Etat : Very Good. Very Good condition. Volume 1. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information.

Paperback. Etat : Like New. Like New. book.

Taschenbuch. Etat : Neu. Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments | ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, 1996, ICMAS'96 Workshop LIOME, Kyoto, Japan, December 10, 1996 Selected Papers | Gerhard Weiß | Taschenbuch | xii | Englisch | 1997 | Springer | EAN 9783540629344 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information. 312 pp. Englisch.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad .

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 312 pp. Englisch.