Hi Mike,

> looking like CLIPS a bit to me.


And not by accident. There are, however, some deep and fundamental
differences. These are:


* The "rules" are kept in a graph database that can be saved to disk in
several formats, saved to SQL, no-SQL, and transmitted by network to other
network nodes.


* The graph store is more generic than just "rules", you can store anything
you want in it. It's a generalized KR system. If you don't like the default
KR style, you can invent your own: all knowledge graphs are not just static
graphs, but are also executable, and you get to pick how that's done. (OK,
so if you invent your own, it might not work so well with PLN, and whatever
temporal subsystem gets created. So compatibility is your responsibility,
too.)


* Unlike CLIPS (or Prolog) rules/expressions can have more than just
true/false values. They can be given floating-point valuations, for
example, Bayesian probabilities or fuzzy-logic percentages. They can be
given vector-of-floats, e.g. two numbers: probability & confidence. Or a
vector of 653 floats, from some neural net. Or a vector of strings. Or a
nested tree of floats and strings. Or whatever. Each valuation is a generic
key-value DB. And not just only "true/false".


The default PLN rules that are CLIPS-like use a blend of probability theory
and fuzzy logic. But again, you don't have to use these, you can invent
your own.


-- Linas



On Fri, Feb 11, 2022 at 6:02 PM Mike Archbold <[email protected]> wrote:

> Thanks everybody for your comments. There is a time philosophy meetup
> event this Sunday, and I put together some very general time notes I
> cobbled together:
> https://docs.google.com/document/d/1_PLknbLKL7ZGEupy6tBQR-J5rkFgt3s-dOHKn4LZKIU/edit?usp=sharing
> Please let me know if further comments. I appreciate your help!
> Mike Archbold
>
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