[L_Ludwig01]

Starting point:
J.H. points out how intelligent machines using brain-like mechanisms of prediction could become of use to humans solving difficult problems. Intelligent machines could even be combined into ever more useful systems. - The book's model is a great contribution to the development of such machines.

Problem:
What is missing, however, is that any human could benefit greatly from a system that extends his memory by mirroring it. In order to combine human knowledge (instead of intelligent machines' knowledge) and enable new kinds of communication / learning / creativity, such an intelligent or artifical memory system would have to create an object/higher entity memory directly from spoken and written natural language with minimal manual intervention/interaction thus linking to personal human memory.

Possible Solution:
Using a new kind of data model based on J.Hawkin's findings, and similar predictive mechanisms an intelligent machine would offer, one could contribute a personal memory/creativity system going far beyond anything that the semantic web movement currently is providing us with.

I have myself developed an ArtificialMemory-System ([www.artificialmemory.net]) and by now see how it could be enhanced to change the way we think, 'cause our brain is plastic enough to extend its capacity to artificial memories.

Lars Ludwig

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[danshawen]

Unfortunately, it is an "all or none" proposition.

Either you give the machine true intelligence and the creative independence to go with it, or else you aren't going to be able to use it to enhance your own creativity very much. It's so much easier to collaborate with humans, or groups of them over the internet, rather than begin with something fresh that has potential to do many things the former cannot.

This limitation does discourage many ideas associated with using commercialization to bootstrap its development. All of us are burning brain cells on a limited solution to the problem.