Re: The nature of Heuristics. D Lenat (Reader)

Thank you D
You may have posted about plausible reasoning before, perhaps, if you have
a spare neuron or two,
sometime do a slide or two on comparing/contrasting heuristics with
plausible R
in the context of AI KR, could be nice.



On Sun, Sep 8, 2024 at 12:47 PM Dave Raggett <dsr@w3.org> wrote:

> Lenat says:
>
> Heuristics are compiled hindsight, and draw their power from the various
> kinds of regularity and continuity in the world; they arise through
> specialization, generalization, and —surprisingly often— analogy.
>
>
> You could argue that generative AI is mostly about heuristics as winning
> memes in the parameter space. Whilst this lacks transparency it works very
> effectively in respect to text, images, video and sound by exploiting
> statistical regularities at different levels of abstraction.  Heuristics
> expressed in symbolic form are by comparison transparent and weaker in
> their applicability, especially when they lack the metadata needed for
> plausible reasoning with fuzzy concepts. Lenat was probably unaware of the
> work being done by Alan Clark and others on plausible reasoning as a means
> to model human problem solving.
>
> On 8 Sep 2024, at 10:02, Paola Di Maio <paola.dimaio@gmail.com> wrote:
>
> Hope everybody had a decent summer
>
> As we weigh human vs artificial intelligence, the question of whether it
> is possible to automate
> heuristic reasoning comes up. I have the pleasure of remembering  Doug
> Lenat with the attached paper written almost half a century ago and still
> relevant today
>
>
> UK summer was pretty wet and cool apart from a few warm days. My
> colleagues in Europe have had to put up with excess heat.
>
> Dave Raggett <dsr@w3.org>
>
>
>
>