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Artificial General Intelligence (Cognitive Technologies) 2007th Edition

4.0 out of 5 stars 2 customer reviews
ISBN-13: 978-3540237334
ISBN-10: 354023733X
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Editorial Reviews

From the Back Cover

This is the first book on current research on artificial general intelligence (AGI), work explicitly focused on engineering general intelligence – autonomous, self-reflective, self-improving, commonsensical intelligence.

Each author explains a specific aspect of AGI in detail in each chapter, while also investigating the common themes in the work of diverse groups, and posing the big, open questions in this vital area.

The book will be of interest to researchers and students who require a coherent treatment of AGI and the relationships between AI and related fields such as physics, philosophy, neuroscience, linguistics, psychology, biology, sociology, anthropology and engineering.

About the Author

The chief editor of the book, Dr. Ben Goertzel, has published 4 research treatises in AI, cognitive science and systems theory, a biography of Linus Pauling, and one previous edited volume (in the area of dynamical psychology), as well as numerous research papers (for his CV, see www.goertzel.org/ben/newResume.htm).

Dr. Ben Goertzel has been involved in AI research and application development since the late 1980’s. He holds a PhD in mathematics from Temple University, and over the period 1989-1997 he held several university faculty positions in mathematics, computer science, and psychology, in the US, New Zealand and Australia.

Dr. Goertzel is author of numerous research papers and journalistic articles, a biography of Linus Pauling, and five scholarly books dealing with topics in the cognitive sciences, including Chaotic Logic (Plenum Press, 1994), and Creating Internet Intelligence (Plenum Press, 2001). 

Currently, as CEO of the software firms Biomind LLC and Novamente LLC, he is leading a team of AI researchers in the development and commercialization of Artificial General Intelligence technology.

Cassio Pennachin has been leading software development projects since the mid-1990's, in artificial intelligence, bioinformatics, operations research and other areas.  Prior to taking on his current role as CTO of Novamente LLC and Biomind LLC, he served as founder and CEO of Vetta Technologies, a Brazil-based software consulting firm, and he led a team developing mass spectrometry data analysis software for Proteometrics.  From 1998-2001 Cassio was the former VP of R&D at Webmind Inc., leading several projects in AI, data mining and information retrieval.  

Ben and Cassio are the chief architects of the Novamente AI Engine, one of the AGI projects described in the book.


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Product Details

  • Series: Cognitive Technologies
  • Hardcover: 509 pages
  • Publisher: Springer; 2007 edition (February 2, 2007)
  • Language: English
  • ISBN-10: 354023733X
  • ISBN-13: 978-3540237334
  • Product Dimensions: 6.1 x 1.1 x 9.2 inches
  • Shipping Weight: 2.1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #3,210,092 in Books (See Top 100 in Books)

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Top Customer Reviews

By Robert Jones on October 29, 2007
Format: Hardcover Verified Purchase
If you are interested in human-level artificial intelligence you probably should own this book. I liked reading the book and am glad I own it but there are criticisms. Most of the book is too qualitative. Even where prototype software has been deployed algorithms are not given, even in pseudocode. Too much of the book is speculation. I also think that too little attention has been paid to the control of complexity.
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Format: Hardcover Verified Purchase
In the past five decades, the field of artificial intelligence has made significant progress, some of which can be characterized as radical departures with the past, while some as steady progress built on preconceived ideas. In general, progress in any field of endeavor is recognized by the participants and by the observers thereof, but this has not been the case in artificial intelligence. With few exceptions anytime an advance is made in this field it is at first greeted with a great deal of enthusiasm, and the algorithms it deploys are viewed as "intelligent." After some time however (and this time is relatively short) the algorithms are "understood" and are then designated as mere "programs" that certainly cannot be considered as intelligent. The "advance" finds its place in history as "trivial", and certainly not to be given any further consideration as "intelligent". Consequently, intelligent machines are always considered to be just beyond the horizon, as a goal to be achieved when better technology and algorithms are available.

But again, progress has been made in artificial intelligence: there are intelligent machines and they are used quite extensively in business and industry. But these machines are limited if one judges them from the standpoint of what is possible using human intelligence. The algorithms, or reasoning patterns that they deploy, are limited to working in a specific domain, such as finance, radiology, or network engineering. Human intelligence on the contrary can function in many different domains: a good chess player can also be a good musician or a good architect.
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