Name: Universal Subgoaling and Chunking: The Automatic Generation and Learning of Goal Hierarchies (en Inglés)
SKU: 58132015
Price: 2808.58 MXN
Availability: InStock
Author: Laird, John ; Rosenbloom, Paul ; Newell, Allen
ISBN: 9781461294054

portada Universal Subgoaling and Chunking: The Automatic Generation and Learning of Goal Hierarchies (en Inglés)

Universal Subgoaling and Chunking: The Automatic Generation and Learning of Goal Hierarchies (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

314

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x1.8 cm

Peso

0.48 kg.

ISBN13

9781461294054

Categorías

Inteligencia artificial

Universal Subgoaling and Chunking: The Automatic Generation and Learning of Goal Hierarchies (en Inglés)

John Laird (Autor) · Allen Newell (Autor) · Paul Rosenbloom (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 25 a 30 días háb.

$ 5,617.15$ 2,808.58

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 100 unidades

$ 2,808.58

¡Envío Gratis! Llega entre el 18 Dic y el 29 Dic a CUAUHTÉMOC, Ciudad de México. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Universal Subgoaling and Chunking: The Automatic Generation and Learning of Goal Hierarchies (en Inglés)"

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.