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AI4U: Mind-1.1 Programmer's Manual (Englisch) Taschenbuch – 28. November 2002


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Mehr über den Autor

Wotan ist die deutschsprachige künstliche Intelligenz von Arthur T. Murray, der einst Student war an der Georgia Augusta Universität in Göttingen. MindForth ist seine englischsprachige künstliche Intelligenz. Душка ist seine russisch-denkende künstliche Intelligenz.

Produktbeschreibungen

Synopsis

Independent researcher Murray presents a philosophy of artificial intelligence based on structured modules of certain robot mind activities, as well as a software model based on the philosophy. The material is clearly aimed at an audience already well familiar with artificial intelligence programming and theoretical controversies. Writer's Club Pre

Über den Autor und weitere Mitwirkende

Arthur T. Murray is an independent scholar in artificial intelligence. A classicist by training with a B.A. degree in Greek and Latin from the University of Washington in Seattle, with AI4U he publishes an original theory of mind based on linguistics and a primitive AI Mind to verify the theory.

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Amazon.com: 4 Rezensionen
37 von 42 Kunden fanden die folgende Rezension hilfreich
The rantings of a crackpot. 13. April 2005
Von Alan F. Grimes - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
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 von 26 Kunden fanden die folgende Rezension hilfreich
A charlatan's bible 14. Juli 2005
Von Jan Wedekind - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
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 von 13 Kunden fanden die folgende Rezension hilfreich
A Review of AI4U 30. November 2006
Von Robert Jones - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
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:

search

pattern recognition

knowledge representation

learning

logic

rule-based systems

neural networks

etc.

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 von 4 Kunden fanden die folgende Rezension hilfreich
Total garbage (even for alternative AI approaches) 10. Juni 2012
Von Matt Brown - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
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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