Nice AI Video

I found the following video in a recent post by Steve DeAngelis  of Enterra Solutions:

It’s a bit too far towards the singularity/general AI end of the spectrum for me, but nicely done and fun for many not in the field, perhaps:

Enterra is an interesting company,too, FYI.  They are in cognitive computing with a bunch of people formerly of Inference Corporation where I was Chief Scientist.  Doug Lenat of Cycorp was one of our scientific advisors.  Interestingly enough, Enterra uses Cyc!

Answers to Common Questions About AI

Well this is a blast from the past… I was working on “the next post” about how Watson, Google, and the semantic web threaten the major BRMS systems when I found myself rewriting that what matters about Rete Algorithm-based production rule systems is that the order of the rules does not matter.  It occurred to me that I must have written that a dozen times or more in my career so I did a Google and found this old paper has been on-line at the Free Library On-Line since 2006!  I recall writing this in the early nineties and the owner of an AI magazine telling me he carried it with him for the better part of a year  (and printing it in his magazine, I think).   Some of you may enjoy reading it again!



An expert system is a program that includes expertise.


Expertise is knowledge that enables an individual, group or program to perform an intellectual task better than that task can be performed without the expertise.


Expertise, being knowledge, falls into a few general categories.

Some knowledge is declarative knowledge which doesn’t do anything but which represents truth or state. Such knowledge can be stored in a standard database.

Some knowledge is algorithmic and can therefore be flow charted. Such knowledge can be expressed as a routine in any procedural programming language. Not everything a person or organization knows can be easily translated into data structures and flow charts, however.


Yes, if the flow chart is actually produced, if it is not extraordinarily complex, and if there is no reason to believe that the flow chart is incorrect or incomplete. After all, procedural languages and flow charts are isomorphic, anything that can be expressed in one can be expressed using the other. However, if it is hard to produce a flow chart, it will be even more difficult to produce a working program using a procedural language.

Continue reading “Answers to Common Questions About AI”

Cyc is more than encyclopedic

I had the pleasure of visiting with some fine folks at Cycorp in Austin, Texas recently.  Cycorp is interesting for many reasons, but chiefly because they have expended more effort developing a deeper model of common world knowledge than any other group on the planet.  They are different from current semantic web startups.  Unlike Metaweb‘s Freebase, for example, Cycorp is defining the common sense logic of the world, not just populating databases (which is an unjust simplification of what Freebase is doing, but is proportionally fair when comparing their ontological schemata to Cyc’s knowledge).  Not only does Cyc have the largest and most practical ontology on earth, they have almost incomprehensible numbers of formulas[1] describing the world.   Continue reading “Cyc is more than encyclopedic”