- Tapa blanda: 578 páginas
- Editor: Cambridge University Press (7 de enero de 2010)
- Idioma: Inglés
- ISBN-10: 0521122937
- ISBN-13: 978-0521122931
- Valoración media de los clientes: 1 opinión de cliente
- Clasificación en los más vendidos de Amazon: nº763.831 en Libros en idiomas extranjeros (Ver el Top 100 en Libros en idiomas extranjeros)
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The Quest for Artificial Intelligence Paperback (Inglés) Tapa blanda – 7 ene 2010
Descripción del producto
'… [a] balanced look at what AI has been able to do during its first 50 years of existence. His personal recollections and the rationale behind many decisions, as retold by an insider, make this book a unique contribution, interesting both for the informed and for the general reader. Both kinds of readers can learn a lot from Nilsson's book about the evolution of this now-mature research field. The book is written in a friendly conversational style, without any unnecessary mathematical formalisms, and is richly illustrated with many diagrams that depict representative AI systems and photographs of the many innovators that led to their development.' Fernando Berzal, Reviews.com
Reseña del editor
The definitive history of artificial intelligence (AI), from the dreams of early pioneers to the achievements of modern research. The book includes many diagrams and easy-to-understand descriptions of AI programs that will help the casual reader gain an understanding of how these and other AI systems actually work.Ver Descripción del producto
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Nilsson is a part of that history, having made contributions to heuristic search, planning, and other areas of AI. He gives his own work fair coverage in the panorama of issues, problems, and large scale questions that have shaped AI since its inception.
"The Quest for Artificial Intelligence" compares favorably with Margaret Boden's massive, two volume history of cognitive science (AI being one of the cognitive sciences) "Mind As Machine." Nilsson's book is the one to read if you want a detailed understanding of what artificial intelligence is and has been, with enough technical detail to satisfy a student of AI while remaining readable and interesting to the educated layman.
If you have an AI library of six or more books, this should be one of them.
For an aspiring software engineer interested in developing algorithms that simulate the steps of a thought process, this book helps one understand:
A) what is currently possible, what is not possible & what is nearly possible :) ;
B) what approaches have hit dead ends & what alternative approaches superseded them;
C) what subcategories of AI research exist, & how they can be integrated
D) what areas of AI research are being actively investigated today and show promise of further advances.
E) how we stand upon the shoulders of giants [some amazing programmatic investigations took place before most script kiddies and raving transhumanists were even conceived].
In a way this last point is slightly melancholic - since the failure of the Japanese 5th Generation Computer Systems project (FGCS) in the 1980s, programming largely consists of re-inventing information systems ad nauseum. And yet cognitive science hints that the human brain is Turing Equivalent - unfortunately, the demand for immediate ROI stymies the effort to automate more tasks. This book is a potent reminder that programmers should strive to understand how to code outside this box.
A recommended read.
Nilsson's book is a thorough survey of many facets of AI with an engaging blend of human stories and technical detail that will satisfy most readers, with hundreds of references that will keep more curious readers busy for years.