How to Build a Mind: Toward Machines With Imagination (Maps of the Mind)

Rating:
Summary: Too much philosophy
Review: 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.



Rating:
Summary: a good example of how to write science books
Review: First, I must admit that some of what Aleksander says goes over my head, at least right now. (I'm not that seriously into this subject, at least so far.) But you can tell, just from the way he writes and what he says, that he comes from a position of genuine competence WRT his subject. Also well worth noting: Either Aleksander has exceptionally good language skills, or a great copy editor, as I saw very few errors in grammar, spelling and so on.

Rating:
Summary: Only if you need convincing
Review: 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.

Rating:
Summary: Very Basic
Review: 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.