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Ai4u: Mind-1.1 Programmer's Manual [Paperback]

Arthur T. Murray

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Book Description

Nov. 28 2002
"AI4U: Mind-1.1 Programer's Manual" has the following positive and negative points. + It describes the rapidly evolving AI Minds on the Web. - It quickly becomes obsolete as the AI hyper-evolves. + On-demand publishing (ODP) makes for quick updates. - The Mentifex project is considered oddball on the 'Net. + You've got the first book about the first real AI Mind. - There are other, better, more authoritative AI textbooks. + AI4U makes a good supplement for actually coding AI. - Artificial intelligence is too hard to understand. + AI4U describes the AI while it is still easy to learn. - "I would rather build robots than study AI programming." + If you want to build a smart robot, then AI4U is for you. - "I'm only a high school student/teacher; what's the use?" + This book will challenge even the most gifted student. - "I am not a programmer and so I can't code AI." + AI4U teaches you how to operate an AI, not just code it. - "I just want to do Web design, not artificial intelligence." + AI4U provides an AI that you may install on your website. - "I am more interested in neuroscience and/or psychology." + AI4U teaches a theory of how the brain works psychologically.

Product Details

  • Paperback: 236 pages
  • Publisher: Writers Club Pr (Nov. 28 2002)
  • Language: English
  • ISBN-10: 0595259227
  • ISBN-13: 978-0595259229
  • Product Dimensions: 22.9 x 16.4 x 1.6 cm
  • Shipping Weight: 349 g
  • Amazon Bestsellers Rank: #1,226,083 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 1.2 out of 5 stars  4 reviews
36 of 41 people found the following review helpful
1.0 out of 5 stars The rantings of a crackpot. April 13 2005
By Alan F. Grimes - Published on Amazon.com
There is no polite way to say this. The author is a crackpot. Reading the materials he provides on his website, an astute reader will notice several things. Firstly, this person doesn't know how to design software at all. He also presumes that his reader knows even less than he does. The "AI" he proposes is nothing more than a basic for(;;) loop. (One of the primitive constructs provided by C, C++, Java and their dirivitives...). He is aware of some of the limititations of his design but is unaware of their obvious (to any intermediate-level programmer) work-arounds. Secondly, while he is happy to put lavish names, such as "Sensorium", on empty or nearly empty functions, he seems to be completely oblivious to the real issues a succesful AI mind must address.

He throws about refferances to concepts in the AI and futurist community such as the technological singularity but fails to demonstrate any understanding of what they mean. He claims that his design solves the AI problem when, infact, it hardly does anything at all.

He claims that his system is suitable for use in robotics, yet he has done no orrigional experamentation.

He continues to troll the usenet (sending between 5-7 messages to every AI and transhumanism related newsgroup per month) pushing his book and his lame ideas.. (If his ideas had even a tenth the merit he claims he would be world-famous...)

I am an AI enthuseast myself and hope to, oneday, publish my own work on the subject. (you can find some of my writings on my website). I do not have the audacity to claim that my work is yet worth anything because I have not yet made much progress. In general, you should stay away from all books on AI unless they are based on actual work that has been done in the field. Work, in this case, being either hard research on biological systems or software development efforts that have shown some type of results.
23 of 26 people found the following review helpful
1.0 out of 5 stars A charlatan's bible July 14 2005
By Jan Wedekind - Published on Amazon.com
From any decent developer, you would expect something, which would at least compare to Winograd's SHRDLU. For some reason, the book however is failing to show any results of the "software-architecture" being explained in length!

A scientist's moral dictates, that you withdraw your theories, if you have been proven wrong. Arthur T. Murray however doesn't show any inclination to do so. Instead he is still continuously advertising his long ago falsified book in forums and he's claiming to have developed a powerful approach to AI.

I think, I can safely say, that the author is a phoney and he's only trying to sell his book. So take my advice and don't by it (as I did)!
12 of 13 people found the following review helpful
2.0 out of 5 stars A Review of AI4U Nov. 30 2006
By Robert Jones - Published on Amazon.com
Format:Paperback|Verified Purchase
Murray believes that with the spread of activation

through a network of the correct configuration and

sufficient size you have intelligence and thought.

Not everyone would start from that premise but

probably most connectionist do. While AI4U is

sometimes advertised as a "textbook" it is not

that. An AI textbook should discuss at least the

core AI topics:


pattern recognition

knowledge representation



rule-based systems

neural networks


While AI4U touches on some of these topics it

is not an adequate textbook. Rather it is a

defence of one man's approach to building an

artificial intelligence.

The chapters in this book are too brief and

the discussions too superficial. There also need

to be algorithms provided for each routine in the

code of Appendix A. These could be presented in

pseudocode or as flowcharts for instance.

The biggest problem is the lack of references.

It is just possible that one could write a short

note without finding it necessary to reference the

work of others but it is impossible to write a book

length scholarly work without citing other work in

the field. This is a fatal flaw. Murray should

begin by referencing:

The Structure of Long-term Memory, W. Klimesh,

Lawrence Erlbaum, 1994

Netl, S. E. Fahlman, MIT Press, 1979

Adaptive Information Retrieval, R. K. Belew, U. of

Michigan, PhD thesis, 1986

The authors of these works have accomplished some

of the things Murray is trying to do with Mentifex.

A positive side to Murray's work is that he does

provide downloadable code. When you run this code you

find that Mentifex is very slow even with a very small

semantic network. If one were to build up the millions

of nodes needed to approach human level intelligence

the code would grind to a halt. Murray seems to think

running Mentifex on parallel processors will solve

this problem. I calculate that it will not. I

believe human level preformance requires that one

apply multiple approaches to controling complexity:

category formation by clustering/vector quantization

hierarchical knowledge organization/processing

parallel processing

avoiding search whenever possible

simultaneous use of multiple specialized agents

sequential running of multiple generations of agents

plus any other means you can bring to bear.

(see Asa H, R. Jones, Transactions of the Kansas

Academy of Science, vol 109, No. 3/4, pg 159, 2006)
4 of 4 people found the following review helpful
1.0 out of 5 stars Total garbage (even for alternative AI approaches) June 10 2012
By Matt Brown - Published on Amazon.com
Format:Hardcover|Verified Purchase
While Arthur has some good intuitions, I think he takes them too far in the wrong directions. He's proposing an architecture that requires long-term investment and planning, without showing that it will work even on small scales. These types of crackpot ideas are a dime a dozen, especially in the field of General Artificial Intelligence

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