Lenat douglas (12 résultats)

Etat : Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Etat : Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Etat : very good, very good. 24 cm, 444, illus.

Hardcover. Etat : Very Good. text clean and unmarked. binding tight. boards have light wear. edges of pages have light wear.

Hardback. Etat : Good.

Etat : good. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May include "From the library of" labels. Shrink wrap, dust covers, or boxed set case may be missing. Item may be missing bundled media.…

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

Hardback. Etat : Good.

Hardcover. Etat : VERY GOOD. Dust Jacket Included. First Edition. 1st Ed. Very Nice Copy. Vintage AI / Vintage Science. 1982. First Edition. McGraw-Hill College. Hardcover w/ jacket. Text is clean and unmarked, no highlighting, underlining or writing. Dust jacket included (tan w green & blue), some light age tanning, clean, light edge & shelf wear. No rips, tears or stains. Cover boards VG condition, clean, solid, square. Knowledge-Based Systems in Artificial Intelligence. Ships quickly and with care. _____________________________________________________________________________________________________________________________ SYNOPSIS & HISTORY: This book reports in detail on two major research efforts in the area of Artificial Intelligence known as knowledge engineering. In recent years there has been increasing interest in building programs which rely on large stores of task-specific know-edge as a basis for high performance. The two case studies reported here explore the methodology and technology of designing, constructing. and operating such systems. Each of the two programs represents the foundation of a new sub-field of Artificial Intelligence. The first, called AM, deals with paradigms of mathematical discovery and scientific research, starting from a knowledge base of elementary set theory concepts and a number of heuristic rules for exploring them. Unlike previous research programs, AM is not a theorem-prover, but a theorem-proposer: its task is to discover, to infer. to 'notice' new concepts built from older ones. This work has been guided by Douglas Lenat. The second program, TEIRESIAS, examines the problem of building and using knowledge-based systems, and the use of meta-level rules. It stud-les in particular the acquisition of knowledge from experts, techniques for adding that information to the knowledge base, and ways of controlling its use. TEIRESIAS demonstrates that it is possible to forge a direct link between an expert and a knowledge-based system, and to allow the expert to test, evaluate, and correct the performance of the system. It has been developed by Randall Davis. This book is unique in the literature of Artificial Intelligence. It presents an account of actual experience in program design, construction, and operation, and researchers will find its information and precise techniques quite valuable. It is also the first such volume in the fast-growing field of knowledge engineering, and quite readable at that, and will provide otherwise inaccessible information to advanced undergraduate and graduate students in Al. The Introduction, by E. A. Feigenbaum and B. G. Buchanan, sets the historical context for the two case studies and discusses the significance of the efforts of Davis and Lenat.…

Etat : New. (inventory#Shelf).

Etat : New. (inventory#Shelf).

Hardcover. Etat : New.