computational intelligence logical approach von poole david (7 Ergebnisse)

Hardcover. Zustand: Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.

Zustand: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.6.

Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 2.6.

Hardcover. Zustand: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Salissures sur la tranche. Edition 1998. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Stains on the edge. Edition 1998. Ammareal gives back up to 15% of this item's net price to charity organizations.

Zustand: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. Aus der Auflösung einer renommierten Bibliothek. Kann Stempel beinhalten. | Seiten: 576 | Sprache: Englisch | Produktart: Bücher.

Buch. Zustand: Neu. Neuware - This introductory textbook on Artificial Intelligence (AI) is aimed at junior/senior undergraduate and graduate level students. The book will weave a unifying theme among the core concepts that underlie the discipline of AI. While the text makes use of Prolog as its primary programming language, class testers have successfully substituted a Lisp-like pseudocode. The book encourages the student to expore, implement and experiment with a series of progressively richer logic-basedrepresentations that can capture the essential features of more and more demanding tasks and environments. The unifying theme will feature an intelligent agent acting in its own environment. This will serve to place the core concepts of AI in a coherent and cohesive framework, making it easier to teachand learn from. This approach will clarify and integrate representation and reasoning fundamentals and lead the students from simple to complex ideas with clear motivation. The authors have developed AI representation schemes and describe their use for interesting and popular applications, such as natural language vision, robotics, game playing, and expert systems. The manuscript has been class tested in a number of different courses in Canada, Japan, and Europe. Virtually every university andcollege has an interdisciplinary course on artificial intelligence. The enrollment in such courses is rising, as many interdisciplinary programs, such as cognitive science, psychology, linguistics, engineering, medicine, business and philosophy, recommend the course.