Knowledge representation and reasoning

Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the focus on what an agent needs to know in order to...

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Detalles Bibliográficos
Autor principal: Brachman, Ronald J., 1949- (-)
Otros Autores: Levesque, Hector J., 1951-
Formato: Libro electrónico
Idioma:Inglés
Publicado: Amsterdam ; Boston : Morgan Kaufmann c2004.
Edición:1st edition
Colección:Morgan Kaufmann Series in Artificial Intelligence
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009626972506719
Descripción
Sumario:Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the focus on what an agent needs to know in order to behave intelligently, how this knowledge can be represented symbolically, and how automated reasoning procedures can make this knowledge available as needed. This landmark text takes the central concepts of knowledge representation developed over the last 50 years and illustrates them in a l
Notas:Description based upon print version of record.
Descripción Física:1 online resource (413 p.)
Bibliografía:Includes bibliographical references (p. 349-375) and index.
ISBN:9781281049315
9786611049317
9780080489322