On Mon, May 26, 2008 at 6:26 PM, Stephen Reed <[EMAIL PROTECTED]> wrote:
> Regarding the best language for AGI development, most here know that I'm
> using Java in Texai.  For skill acquisition, my strategy is to have Texai
> acquire a skill by composing a Java program to perform the learned skill.  I
> hope that the algorithmic (e.g. Java statement & operation) knowledge that I
> teach it will be eventually portable to source code generation in machine
> language for the x64 architecture.  One might hope that by initially
> teaching the register set, machine instructions, and cache-line
> characteristics for x64, the code generation might subsequently  learn to
> perform many of the static and dynamic (e.g. execution profiling based)
> optimizations employed by the best compilers.

This sounds good, though a nitpick...

> Given algorithmic knowledge, it should be possible, for example, to avoid
> the need for type inference, or escape analysis to determine which objects
> can be allocated from the stack versus the heap.

By "avoid the need for..." you probably mean "have the AI figure out
how to do... by itself, thus avoiding the need to manually figure out
the rules"?


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agi
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