'Brainhat' is a project to model knowledge, inference, reason and
intuition, and to scale it. The objective of programming with
knowledge is to build a system that "knows" things, can evaluate new
information and react.
Is this AI?
The term Artificial Intelligence has come to mean high order
curve-fitting with predictive capabilities. AIs are trained. The
product is matrices whose contents represent the data they were
trained by, structured for the program that trained them. In that
sense, they're somewhat intransigent.
To update an AI one has to retrain it. Accordingly, in use, they're
read-only intelligence. Any sequential or stateful behavior has to be
simulated by adding code around an AI.
Brainhat could be that kind of code; Brainhat + AI would be a
powerful combination. But, Brainhat is not AI in the
current conventional sense of the term.
Is this Natural Language Processing?
Maybe! But, no.... In the 1970s, Brainhat would have been
called Natural Language Processing (NLP). That term has
been subsequently repurposed to represent language
translation, text summarization and bots. Brainhat, by
contrast, processes with deep knowledge representations.
Human language is valuable for conveying knowledge. But
once Brainhat compiles it into a knowledge representation,
the language is thrown away. So, in that sense, there's
no natural language processing at all—except when
communicating with you; Brainhat processes knowledge.
Is this for Chat Bots?
No. This is for computing with knowledge. Brainhat
can interact with users with simple language.
But one can also construct whole applications that don't communicate
with language at all.
The programming language is English.
Questions? Write to email@example.com or follow on social