Artificial Intelligence: The Very Idea (Paperback)

~ (Author) "What are minds?..." (more)
Key Phrases: inner referee, finite competence, semantic labor, Analytical Engine, Logic Theorist, Herbert Simon (more...)

Editorial Reviews

From Library Journal

This interesting book stands out from the many other new titles on the topic of artificial intelligence. Its philosophical treatment, which includes coverage of automatic formal systems, semantics, and the development of the various theories of thinking, presents an approach taken by few other AI works. The author ties together this philosophical treatment with clear explanations of how computer-based AI efforts operate and what this might hold for us in terms of future potential. He raises some thought-provoking questions and freely admits that the answers are not as clear-cut as some computer experts would have us think. This book should appeal to a wide audience. Hilary D. Burton, Livermore National Labs., Livermore, Cal.
Copyright 1986 Reed Business Information, Inc. --This text refers to an out of print or unavailable edition of this title.

Review

"A delightfully well written book highlighting many of the deep and important issues forming the foundation of artificial intelligence and, in fact, of all cognitive science."
—Contemporary Psychology



"Haugeland has done an outstanding job of putting the central ideas and claims of AI in perspective - and this is something no one has yet done well."
—Daniel C. Dennett, Tufts University



"[An] amusing and wide ranging study... As well as containing concise and sharp definitions of fundamental issues in the philosophy of logic and meaning, the book has excellent summaries of basic computer architectures and hot topics in AI research."
—Times Literary Supplement

See all Editorial Reviews

Product Details

• Paperback: 299 pages
• Publisher: The MIT Press (January 6, 1989)
• Language: English
• ISBN-10: 0262580950
• ISBN-13: 978-0262580953
• Product Dimensions: 9 x 5.9 x 0.7 inches
• Shipping Weight: 1.2 pounds (View shipping rates and policies)
• Average Customer Review: 4.2 out of 5 stars  See all reviews (4 customer reviews)
• Amazon.com Sales Rank: #930,580 in Books (See Bestsellers in Books)

Customer Reviews

Most Helpful Customer Reviews

11 of 13 people found the following review helpful:

3.0 out of 5 stars Don't judge this book by its cover..., July 31, 2002

By	Brian Burtt (Saginaw, MI USA) - See all my reviews (REAL NAME)

Don't judge this book by its cover-or at least by its title. Haugeland's Artificial Intelligence: The Very Idea does not adequately serve as a general introduction to the conceptual underpinnings and philosophical background of the quest to create an artificial mind. Rather, it focuses on one specific approach to how natural and man-made thought works: "thinking...essentially is rational manipulation of mental symbols." (p. 4) Haugeland plows forward with this as his core assumption, barely noting that some AI researchers see thought from a very different perspective (for example, the connectionists) and others find the whole enterprise fraught with theoretical difficulty (such as Dreyfus).

So Haugeland's story is that of a particular theory of mind that held predominance for several decades (what the author himself dubs "good, old-fashioned artificial intelligence" or "GOFAI", p. 112) but is now gradually being superceded. His introduction to this story concludes with a description of the Turing test and a justification for its use, and a brief statement of the efficacy of describing a system in different-even contradictory-ways through different "organizational levels". (p. 9) Of all the ideas presented in the book, this last one has the greatest promise for applicability beyond GOFAI.

Chapter 1, "The Saga of the Modern Mind", is a condensed bit of intellectual history. Haugeland introduces the philosophical children of the Copernican revolution-Hobbes, Descartes, and Hume-and the ways they grappled with understanding the world of the mental with the ideas that had proven so effective in the physical sciences. We soon encounter the "paradox of mechanical reason": if reason is the meaningful manipulation of symbols, and meanings are not physical entities, then how can machines manipulate them? (p. 39)

Chapter 2 serves as an extended definition of "Automatic Formal Systems", that is, computers. This material is the most challenging in the text, but the important concepts (formal games, digital systems, medium independence, etc.), are well-described, except for finite playability. The students I tutored through this work found it impossible to determine just what point was being made, and so did I.

How does one assign meanings-connections to the "real", outside world-to the symbols that a computer manipulates? This question is taken up in Chapter 3, "Semantics"-and answered, it seems, by sleight-of-hand. Haugeland gives to this the name "the formalist's motto": "if you take care of the syntax, the semantics will take care of itself". (p. 106) Neither I nor my students found this simple resolution at all satisfying. In every example of a formal game that the author presents, whatever semantic interpretation it has is provided from outside the system.

Chapter 4, "Computer Architecture", charts the milestones of computing. It begins with the analytical engine, and lauds Babbage's single-handed invention of programming without noting, however, that a human mind does not resemble the tabula rasa of a computer's memory bank. Moving quickly to the twentieth century, we get insightful descriptions of Turing machines, von Neumann machines (which turn out to be the kind of computer we are accustomed to), the mind-bending tree-structured LISP machines, and Newell's pragmatic production machines.

Chapter 5, "Real Machines", might be better titled "Real Problems". Haugeland presents some of the brick walls that AI research has run into. These can be grouped into the phenomenon of the combinatorial explosion: in order to interact with the real world in a manner that demonstrates "common sense", an AI must have access to an impossibly large store of information (while accessing what it needs in due time), and be able to consider an equally impossibly large set of potential courses of action. (p. 178) Methods to restrict what the AI has to consider, such as the focus on "micro-worlds", result in a system with no sense. Haugeland acknowledges these problems, and offers nothing but hope in scientific and technological progress to answer them.

Chapter 6, "Real People", develops means by which the sense that humans exhibit, and machines are far from realizing. Dennett's intentional stances and Grice's conversational implicatures are intelligent-if partial-characterizations of perspicuous reasoning. They are, however, frustratingly slippery for computer programmers, so it's not surprising that Haugeland, with some exasperation, groups them together under the "nonasininity canon": "An enduring system makes sense to the extent that, as understood, it isn't making [a rear] of itself." (p. 219) I feel that, if a reader has followed the author this far, then he or she deserves better than this.

Yet Haugeland and his colleagues are bound to feel frustration. Computers are electromechanical in nature, while humans are neurochemical. Computers can engage in numerical calculation with speed and precision, while most people find mathematics to be their most difficult school subject. Computers are tools that we devised to assist us. Human behavior was forged in the four-billion cauldron of evolution, and psychologists have barely begun to sort out the seething stew of vestigial loves, hates, and motivations that shape our behavior. And honest cognitive science will admit that humans and supercomputers are each masters of two separate, very different worlds. At the end, Haugeland finally admits this possibility-without contemplating the alternatives to the computation theory of might that this possibility demands.

5 of 6 people found the following review helpful:

5.0 out of 5 stars A great exposition of the fundamentals and more., March 22, 1999

By A Customer

This is a great exposition of the fundamental notions involved in the philosophy of AI. While at first look may appear like a good undergraduate read, it is, in fact, quite subtle and deep in most of the material it touches. Great scholarship.

4.0 out of 5 stars Worth another look, March 15, 2009

By	Nova137 - See all my reviews

I read this as an undergrad at the UW (Seattle) in the early 90's. I just skimmed it again today and see that it is worth another look. It starts with a brief history of what it calls the "saga of the modern mind" (a brief look at the brain/mind problem since Copernicus). It then launches into "automatic formal systems" (in which he forcuses on game theory) and then on in to "semantics" (in which he looks at how game theory rules apply) and then the rest of the book is building the story of AI as it can be applied to machines and then concludes with the application of our intelligence as an artifice for "real" machines.