Livrare gratuită pentru comenzile peste 349,00 lei.

Verifică starea comenzii

Faceți parte dintr-o comunitate de iubitori de cărți din întreaga lume și beneficiați de o mulțime de avantaje Creați-vă un cont gratuit

Transport gratuit la punctele de livrare Pick Up peste 349.00 lei

Packeta 15.00 lei Serviciul de curierat Cargus 28.00 lei Easybox 20.00 lei FAN Courier 20.00 lei Punct FAN 16.00 lei Punct DPD 17.00 lei Curier DPD 25.00 lei

Contact

Cum să cumpăr

Ajutor

Contul meu

▸ Gol :-(

Livrare gratuită pentru comenzile peste 349,00 lei.

Universal Subgoaling and Chunking

Name: Universal Subgoaling and Chunking
Brand: Kluwer Academic Publishers
SKU: 01401050
Price: 918.06 RON
Availability: InStock
Author: John Laird
ISBN: 9780898382136

The Automatic Generation and Learning of Goal Hierarchies

John Laird

Paul Rosenbloom

Allen Newell

Limba

engleză

Carte Copertă tare

Codul Libristo: 01401050

Editura Kluwer Academic Publishers

Rarely do research paths diverge and converge as neatly and productively as the paths exemplified by... Descrierea completă

Codul Libristo: 01401050

425 b

918.06 lei

În depozitul extern în cantități mici Expediem în 11-15 zile

Până la 30 de zile pentru returnare

Clienții au cumpărat de asemenea

Integration von ethischen Grundsätzen in den Entscheidungsprozess des Unternehmers Ludger Löning

Carte broșată

130.08 lei

Bioverfahrensentwicklung 2e Winfried Storhas

Copertă tare

603.74 lei

Rarely do research paths diverge and converge as neatly and productively as the paths exemplified by the two efforts contained in this book. The story behind these researches is worth recounting. The story, as far as I'm concerned, starts back in the Fall of1976, when John Laird and Paul Rosenbloom, as new graduate students in computer science at Carnegie-Mellon University, joined the Instructible Production System (IPS) project (Rychener, Forgy, Langley, McDermott, Newell, Ramakrishna, 1977; Rychener & Newell, 1978). In those days, production systems were either small or special or both (Newell, 1973; Shortliffe, 1976). Mike Rychener had just completed his thesis (Rychener, 1976), showing how production systems could effectively and perspicuously program the full array of artificial intelligence (AI) systems, by creating versions of Studellt (done in an earlier study, Rychener 1975), EPAM, GPS, King-Pawn-King endgames, a toy-blocks problem solver, and a natural-language input system that connected to the blocks-world system.