I have some things to add:

   - One-shot generalization. Even animals can try something once and
   remember never to do it again. Every learning algorithm I've ever seen
   failed at this. Most of them require tens of thousands of iterations to get
   the point. This is because learning algorithms are looking for convergent
   estimates of expected reward, and converging adjustments in reward have
   limited utility in the real world.
   - Ability to learn from communication. Human intelligence isn't just the
   intelligence of the individual. It's the collective intelligence of the
   species. I don't have to learn things the hard way. I can just ask someone
   if something's a good idea, or what sort of approach they recommend. Why
   reinvent the wheel at every step?
   - Going back to my recent replies to Jim: Effective caching of relevant
   information. Knowledge is cached information, whether gleaned from
   observation or computation. Once again, why reinvent the wheel at every
   step?



On Sat, Dec 8, 2012 at 3:40 PM, Piaget Modeler <[email protected]>wrote:

>  Once we have a good set of requirements we can begin a design by
> finding design
> elements that match the requirements, assumptions, dependencies, and
> constraints.
>
>
> *Requirements*:
>
> 1. Efficient Organization
> 2. Efficient Execution
> 3. Easy to Understand
> 4. Supports vast interconnections among concepts
> 5. Rapid Execution to continually reevaluate multiple paths
> 6. Need to switch search spaces rapidly
> 7. Need to expand or restrict search spaces dynamically
> 8. Need for concept integration
> 9. Need for concept differentiation
> 10. Need to fluidly recombine concepts
> 11. Need to support simulation and multiple path exploration.
> 12. Supports justification discovery / Reason-based  reasoning and
> planning.
> 13. Should be able to explain reasons for decisions.
>
>
> *Assumptions*
>
>
> *Dependencies*
>
>
> *Constraints*
>
>
>
> Anything else to add? Are any of these Assumptions or constraints rather
> than requirements?
>
> Kindly advise.
>
> ~PM.
>
>
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