On 2/23/15, Jim Bromer via AGI <[email protected]> wrote:
> We programmers can become habituated in our thinking about mundane
> things like variables and procedural methods in programming. This
> thinking would not be a problem if we were able to keep an open mind
> when we need to develop ideas in special ways but the problem is that
> a flexibility of mind tends to become weaker over time just because
> our typical mindsets work so well in normal circumstances.
>
> However, when working on problems for which conventional and standard
> methods have failed, then it is definitely time to rethink your
> assumptions about the tools that you use.
>
> Many of the things that I could tell you about might seem trivial
> because you probably already have many of the basics down. The
> problems come from implementation errors (of thought) that you don't
> see coming. Just because a standard technique (of thinking about
> something) is usually integrated into other related (thought) objects
> in certain ways that does not mean that is the only way that those
> thought processes can be used. You know that of course. The problem is
> that you don't know how to find a new implementation of integration
> rules in order to deal with a particular problem. It is similar to the
> AGI Frame Problem as I conceive it. When dealing with a new kind of
> problem you have so many possibilities that you can work with it
> becomes practically impossible to find the right tool (or the right
> knowledge) for the job. What I am trying to say is that these tools of
> mind may be comprised of component systems just like the components of
> programming constructs. The problem is that your thinking can become
> so standardized by the habitual use of these programming constructs
> that it can become almost impossible to think about them in different
> ways.

Jim, have you taken a look at some of the more far out (seeming) newer
architectures?  eg.,  http://rala.cba.mit.edu/  (I think this is the
one I was intending, it's getting a bit late here....)
I guess mostly I think in terms of neural nets or symbolic, but it
helps to dive into some of these architectures.
Mike A


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