> The truth is, one of the big problems in
> the field is that nearly everyone working on a concrete AI system has
> **their own** particular idea of how to do it, and wants to proceed
> independently rather than compromising with others on various design
> points.  It's hardly a herd mentality -- the different systems out
> there vary wildly in many respects.
>
> -- Ben G

To analogize to another field, in his book "Three Roads to Quantum Gravity",
Lee Smolin identifies three current approaches to quantum gravity:

1-- string theory

2-- loop quantum gravity

3-- miscellaneous mathematical approaches based on various odd formalisms
and ideas

I think that AGI, right now, could also be analyzed as having four
main approaches

1-- logic-based ... including a host of different logic formalisms

2-- neural net/ brain simulation based ... including some biologically
quasi-realistic systems and some systems that are more formal and
abstract

3-- integrative ... which itself is a very broad category with a lot
of heterogeneity ... including e.g. systems composed of wholly
distinct black boxes versus systems that have intricate real-time
feedbacks between different components' innards

4-- miscellaneous ... evolutionary learning, etc. etc.

It's hardly a herd, it's more of a chaos ;-p

-- Ben G


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agi
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