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How To Build A Mind: Dreams and Diaries (Maps Of The Mind) [Hardcover]

Igor Aleksander
2.5 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

15 Jun 2000 Maps Of The Mind
Imagine a banana. What colour is it? Yellow, of course. Now try to form a picture of one that doesn't exist, that can't exist: a blue banana with red spots. Imagine that. How did you do? If you found it hard, perhaps you ought to know that Igor Aleksander has a machine which can do that easily. When he asks it (in words) to produce an image of 'banana' that is 'blue with red spots', the image swims on to the screen in seconds. The idea of such a conscious machine seems absurd and almost heretical, and its advocates are often accused of sensationalism, arrogance or philosophical ignorance. Part of the problem is that consciousness remains ill-defined: many people argue that it will always lie beyond the remit of science, in the realm of philosophical speculation, too mysterious and complex for human understanding. Aleksander, a world leader in the field of artificial intelligence, now attempts to unravel these arguments dispassionately for a general audience and provide a rigorous definition of consciousness. He shows how the latest work with artificial neural systems suggests not only that an artificial form of consciousness is possible but also that its design would clarify many of the puzzles surrounding the concept. A centrepiece of the book is Magnus, the author's 'conscious' computer program. But the book also looks at the representation of 'self' in robots, the learning of language, and the nature of abstract concepts such as emotion, will, instinct and feelings. The book is more than a comprehensive survey of modern ideas and research. It also provides a cultural history of the field, putting in broader context the work of pioneering scientists and philosophers.


Product details

  • Hardcover: 196 pages
  • Publisher: W&N (15 Jun 2000)
  • Language: English
  • ISBN-10: 029784296X
  • ISBN-13: 978-0297842965
  • Product Dimensions: 23.6 x 15 x 2.8 cm
  • Average Customer Review: 2.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: 1,601,809 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Amazon Review

Of all genres of science book, none has generated so many works whose titles promise so much but which deliver so little as those devoted to consciousness. In recent years, scholars from disciplines from philosophy to neuropharmacology have hit the bestseller lists with books bearing such peremptory titles as Consciousness Explained--despite the fact they do no such thing. Now Igor Aleksander, Professor of Neural Engineering Systems at Imperial College London, has offered his own take on the subject with How to Build a Mind. And with an international reputation for actually building "intelligent" machines rather than idly talking about them, Aleksander would seem ideally qualified to write a book with something new to say on consciousness. Indeed, in the opening chapter he states that he wants to "avoid the yawns and the pointless late-night conversations" the subject usually engenders. Alas, How to Build a Mind is yet another case of too much bun and too little beef. A mishmash of autobiography, historical overview and disjointed opinion, interspersed with imagined conversations with philosophers, it adds very little to the consciousness debate. This is all the more disappointing given that Aleksander has arguably come closer to achieving the goal of his book's title than anyone else through Magnus, a computer program he devised which--in some sense at least--is aware of its existence, its surroundings and shows signs of exercising free will. Readers will find only a lacklustre discussion of this fascinating work in this book, which--perhaps uniquely in this field - radically undersells the author's expertise and achievements. --Robert Matthews

Review

Neatly illustrates how the field of artificial intelligence has mostly been leaping from enthusiasm to enthusiasm without any deep theoretical consideration of human brains or human consciousness... Written with warm amusement. The Guardian (London) A worthy trip for anybody who's wondered... just how the brain does it. -- Carl T. Hall San Francisco Chronicle This far-ranging book should interest readers at varying levels, from engineers and computer scientists to science fiction and psychology buffs. -- Hilary Burton, Lawrence Livermore National Lab, California Library Journal Igor Aleksander has spent most of his life in the frustrating attempt to develop intelligent machines. In doing so, he has been at the forefront of the Artificial Intelligence community for over four decades. How to Build a Mind is simultaneously a history of AI and an intellectual biography. Since designing thinking machines requires not just the ability to write computer programs but also an understanding of what we mean by 'consciousness,' 'mind,' and 'intelligence,' How to Build a Mind also takes up an inquiry into the history of philosophical explanations of those terms, from Miletus to Ludwig Wittgenstein. Tech Directions --This text refers to an out of print or unavailable edition of this title.

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Customer Reviews

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Most Helpful Customer Reviews
1 of 1 people found the following review helpful
4.0 out of 5 stars How to build a mind ?....well not quite. 6 July 2005
Format:Hardcover
I am an I.T. specialist by trade, and I found this book to be a very thought-provoking read. The author conveys his ideas by relating numerous ficticious conversations with historical figures down through the ages. He also discusses many of the key considerations that have to be addressed before an artificial brain can become a reality. I didn't agree with a number of his conclusions about how an artificial brain could be created and how it would function, which in my opinion were overly pessimistic. In the last two chapters the author tries to summarise the previous chapters, and while this is the best part of the book, it is also an anti-climax because as the author puts it : "...there is no grand formula, no glittering prize, no startling revelation.". In spite of this, I believe that thinking, learning machines are a real possibility, and we're closer to achieving this goal than perhaps anybody realises. Whether these artificial intelligences live up to people's expectations (especially in the early days) remains to be seen.
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10 of 13 people found the following review helpful
By A Customer
Format:Hardcover
The book contains some brief technical details that attempts to confuse and mislead the casual reader. Experts in the fields of artificial intelligence, neural networks, or intelligent systems will be fustrated by the inaccuracies or misleading descriptions in this book. To its credit, the book is rather clever in that it attempts to confuse/mislead even the experts in various fields of study. Since, experts in individual fields are rarely experts in many other major fields of study, the author cleverly mixes (misleading or poorly explained) information about neural biology and artificial intelligence together so that experts in either field are confused and easily mislead. Some of the claims made in the book are somewhat far fetched (at best controversial) and not backed up by any solid theory. The catchy title of the book will probably convince some people to buy it but its not one of the best books I have seen.
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Amazon.com: 3.4 out of 5 stars  8 reviews
14 of 14 people found the following review helpful
2.0 out of 5 stars Very Basic 16 Sep 2002
By "lukeo" - Published on Amazon.com
Format:Hardcover
This book treats consciousness with a disturbing kind of ease. While Mr. Aleksander brings out the issues surrounding consciousness (if one can even do that!). All too often the issues are either one sided to too simplified to the point it makes the author look like he has his mind made up before he asks the question.

Another serious issue I have is the ratio of philosophers to text used. I haven't seen this blatant use of names since I read Bart Kosko's book on fuzzy logic. While Aleksander tries to model a "mind" on silicon he eludes defining consciousness while raising the ability of machines. From his book; "The key difference between the machine and the person is that the machine would be conscious of being a machine, whereas the person is conscious of being a living human." How are we even to guess when a machine is conscious of being a machine? Does my toaster "believe" it's a toaster?

I am not a philosopher but an engineer and I've studied neural networks and I do agree with his suggestion that emergent properties can arise from complex systems. While others see consciousness an emergent property of a neural network - I have yet to see evidence of this or... even an indication of this. If you haven't had any exposure to neural networks or philosophy AND you want to see a snapshot of the controversy surrounding the issues of consciousness THEN you might want to read this book.

4 of 4 people found the following review helpful
3.0 out of 5 stars Too much philosophy 28 Jan 2005
By Dr. Lee D. Carlson - Published on Amazon.com
Format:Hardcover|Amazon Verified Purchase
The author's goal is to answer the question as to whether a (non-human) machine can imagine. Clearly he believes that machines can, and throughout the book he gives his reasons for believing so. Early on, he emphasizes to the reader that he is an engineer, but given the view by most that engineering is a practical profession, he also wants the reader to know that it is philosophy that permits a true understanding of the nature of machine intelligence and forms the proper context for addressing questions regarding the ability of machines to have an imagination. Indeed, research into machine imagination is considered to be a combination of engineering and philosophy. Those readers, including this reviewer, who find philosophical speculation a distraction to the actual construction of intelligent machines might not want to read further. However, there is enough discussion on the history of the author's involvement in the development of intelligent machines to make the book worthwhile to read. This is especially true for the author's discussion on the MAGNUS machine, which he considers to be a machine "driven by inner states." In addition, the author is very aware of the pitfalls of philosophical musings on the nature of consciousness and machine intelligence. One of these concerns the conflict between the use of mathematics and physics to promote true understanding, versus the insistence that such understanding can only be reached from the use of thought experiments and argumentation. Another problem, says the author, is the predilection of philosophers to deny or negate the thoughts of their predecessors, which stymies progress to true understanding and is to be contrasted with the more effective approach in scientific circles, where consensus can be reached based on available evidence. Lastly, the author believes, the drive to understand consciousness has driven philosophers to the embrace of mysticism, with a consequent rejection of quantitative approaches.

The design of non-biological machines with imagination is not only driven by curiosity, but also by the desire to shed light on the nature of consciousness itself, says the author. The actual implementation of conscious imagination in non-biological machines can assist in the understanding of how it is done in biological machines, or at least how they are to be contrasted. The mechanisms giving rise to imaginative consciousness may have common elements in biological and non-biological machines. The author wants to find what aspects of "artificial" imagination are in fact true for "real" imagination.

At various places in the book, the author includes hypothetical discussions and debates with various philosophers and notable persons in history. These are interesting for sure, but they distract the reader from the discussion on the actual engineering of conscious and imaginative machines. Philosophers who find machine consciousness an elusive or impossible goal will never be convinced by any arguments supporting this goal. It would be better if researchers in machine intelligence would declare a moratorium on philosophical debate and speculation, and instead get busy with the real goal of designing and constructing intelligent machines.

The author characterizes consciousness in a machine as being the ability to know where it is situated, as being an understanding of its origins, and having its own motivations for the making of decisions. These criteria don't really that seem to difficult to implement in non-biological machines, and as one reads the book it becomes more apparent with each passing page that the author does not consider the implementation of non-biological machine consciousness as being a problem of overwhelming difficulty. His optimism in this regard is very characteristic of those who work in the field of machine intelligence. Their efforts are admirable, and even though the engineering of consciousness in a non-biological machine may remain elusive in years to come, there is no doubt that various types of machine intelligence have been realized in some of the machines of today. We can only expect further advances, and the rise of new types of intelligent machines. Whether these machines meet our expectations is another matter, but they have already exceeded expectations in many cases. Conscious or not, the machines of the future will certainly be fascinating entities with which to interact.
8 of 10 people found the following review helpful
5.0 out of 5 stars Only if you need convincing 4 Feb 2002
By Donald P Martin - Published on Amazon.com
Format:Hardcover
Read this book only if you need to be convinced that machines will be capable of thought and imagination. It is quite philosophical and argues points that seem obvious to me. The book seems to be intended for doubters. The first 11 chapters get three stars from me.

On the other hand, if you want to understand how the brain works, turn to the last chapter (Ch# 12 On Being Conscious) it is an excellent summary of our current knowledge. This last chapter gets five stars.

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