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Society Of Mind Paperback – Mar 15 1988


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Product Details

  • Paperback: 336 pages
  • Publisher: Simon & Schuster (March 15 1988)
  • Language: English
  • ISBN-10: 0671657135
  • ISBN-13: 978-0671657130
  • Product Dimensions: 21.6 x 2.3 x 27.9 cm
  • Shipping Weight: 885 g
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (27 customer reviews)
  • Amazon Bestsellers Rank: #87,802 in Books (See Top 100 in Books)
  • See Complete Table of Contents

Product Description

From Amazon

For some artificial intelligence researchers, Minsky's book is too far removed from hard science to be useful. For others, the high-level approach of The Society of Mind makes it a gold mine of ideas waiting to be implemented. The author, one of the undisputed fathers of the discipline of AI, sets out to provide an abstract model of how the human mind really works. His thesis is that our minds consist of a huge aggregation of tiny mini-minds or agents that have evolved to perform highly specific tasks. Most of these agents lack the attributes we think of as intelligence and are severely limited in their ability to intercommunicate. Yet rational thought, feeling, and purposeful action result from the interaction of these basic components. Minsky's theory does not suggest a specific implementation for building intelligent machines. Still, this book may prove to be one of the most influential for the future of AI.

From Publishers Weekly

Minsky, cofounder of MIT's Artificial Intelligence Lab, is a charter member of the community of AI pioneers committed to understanding the workings of the human mind and mimicking its processes by computer. Here he takes his place as this generation's Buckminster Fullera revered seminal thinker whose depth and originality sometimes place him out of reach for many. But Minsky's difference is his style: he writes aphoristically, with wit and precision, and makes the most of his perception that the mind learns by images, which perform as agents that connect, interact and even "censor" in a staggeringly subtle "society" of microprocedures. This holistic view of the mind's learning stages is the culmination of Minsky's study, and its insights into the developing world of computers-as-machines are matched by paradoxically intuitive glimpses of the growth of a sense of "self" through introspection, short- and long-term memory, mind-frames utilizing pictures and language. Minsky's creative terminology for freshly perceived mental processes is a major contribution to the future of mind-science. Illustrated. Major ad/promo; Macmillan Book Club alternate.
Copyright 1986 Reed Business Information, Inc. --This text refers to an out of print or unavailable edition of this title.

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2 of 2 people found the following review helpful By "seriousthinker" on April 22 2003
Format: Paperback
I was interested in AI for many years, and read hundreds of papers or books on the subject. After I found this book, I thought I wasted much time.
The book is about methodology of finding things out, and building things up.
Many researchers wrote books about AI or other sciences, and describe the philosophy in a different context. However, they are just the same thing presented in new fashions. And unfortunately, seldom give him the credit. An extreme example is the now best selling ANKOS by Wolfram, which is just an application of Minsky's theory with some variations, on some different problems!!
Scientific theories in the deepest sense are all based on the same philosophy -- building up complicated things from simple things. And the mathematician Minsky was the first to put all that simple-complicated theory all together in a concise small book, in a philosophic way, and for science people.
The philosophy can be applied to many fields, not only AI. It's also a philosophy of problem solving and modeling. Or, even how to study philosophy!
The book is quoted more often in philosophy papers than AI.
I recommend this book for all people who love knowledge.
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Format: Paperback
In this collection of papers on how the mind work, Minsky seamlessly melds Cognitive Science, Psychology and Artifical Intelligence concepts into a collection of theories that explore the working of the mind.

While Researchers in the different fields have looked at individual aspects of how we think, Minsky, in this defining work seeks to develop a general theoretical foundation of thinking. Finding that no one theory appears to be sufficient to the task, this work offers a collections of inter-realated theories.

At its heart is the concept that we describe as 'Mind', and generally conceptualize as one 'thing' is in fact a hierarachy of Societies; societies of agents; agents that in themselves contain little intelligence but organized into inter-related and inter-connected agencies, each with its own specialized abilities, collectively give rise to the intelligent thinking entity we simpistically call a mind.

The concepts and theories he posits are not just applicable to Biological Wetware but are meant to be translatable in equal measure to applications in silica.

A truly seminal work and a must read for all Students and Practitioners of AI , this book can still be appreciated by the layman with a fascination for things cerebral.
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Format: Paperback
The fundamental assumption underlying the principles in the book is that the mind is a result of many small and independent pieces that act in a predictable way and CANNOT think for themselves - but that the result (the mind) CAN think. Of course, the title 'The Society of the Mind' is not a good fit to the ideas in the book because Society and its parts (individual minds) can BOTH think.
But leaving these kind of simple inconsistencies and incongruencies (I discovered at least a couple after some deep thinking) to the side, this book makes for an absolutely fascinating read if you are interested in the subject of how the mind works. The approach is very unique, and the ideas are thought provoking. There are 270 components in the book grouped into 30 chapters and each component takes up 1-2 pages to explain the idea and some basic logic supporting the idea presented in that component. The book has 339 pages in case you are wondering (including the index).
The format of the book makes it very convenient to pick up the book once in a while and read 5-6 ideas in a 15 minute sitting. Of course, to get the most benefit from the book, you have to read one chapter at a time as each chapter contains ideas that are interconnected. The best approach would be to finish reading the book in 2 or 3 sittings so you can connect all the ideas. The author does warn you at the beginning that there are a lot of cross-connections between the different ideas that you may miss. You have to take this advice into consideration and pay extra attention to connecting the ideas in order to get the real theory that the author is trying to communicate. He never actually explains the theory in a nutshell. He leaves it to the reader to come to some conclusions that hopefully will match the author's theory.
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Format: Paperback
In this book the author attempts to explain the workings of the human mind as a collection of a large number of autonomous mindless connected agents. The approach is metaphorical/philosophical, and no empirical evidence is given for the ideas expounded. The "society of mind", composed as it is of a collection of simple objects, is purely reductionist in its strategy and philosophy. It is though a highly original and thought provoking introduction to the major questions involving mental states, concept formation in the brain, learning theory, and artificial intelligence. The author gives many interesting examples that entice the reader to "think out of the box".
The book itself is written as though each chapter were itself one of these agents. Typically a chapter poses a question or a particular phenomenon, and the author then addresses how the mind would implement of resolve this question or deal with this phenomenon. Some interesting chapters in the book include:
1. Self-Knowledge is Dangerous: The author argues that mental constraints are needed to prevent the individual from artificially creating emotional states that would prevent deliberate action on our part. An intelligent machine will then need to have such constraints in order to prevent it from repeating endlessly the same activity.
2. Learning from Failure: Minsky argues that confining oneself to positive learning experiences will not be as robust or effective as one that will involve some kind of discomfort or pain. Such discomfort will enable more radical changes in conceptual structure.
3. Power of Negative Thinking: The author argues that an optimistic problem-solving strategy is contingent on the ability to recognize several paths to the solution, with the best path then selected.
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