Concept
Size of concept
Concept is a very small piece of information.
Typically one real world object is represented by multiple concepts.
In strong
AI all concepts are stored in Concept table. From this point of view a concept is just a small record (just
few bytes). In a very simplified way concept is just a unique number
(ConceptID).
You may
ask: “How can such small piece of information carry information about the real world?” The answer is: “Concept alone cannot
carry any essential information”. But concept with relations
and with other related concepts can.
Relations
Concept becomes meaningful only if the concept has relations
with other concepts.
A concept can be at the same time:
-
Cause concept for several effect concepts.
-
Effect concept for several cause concepts.
That means
that at the same time concept may have many cause-effect
relations with other concepts.
Example:
- Concept “Book” is an effect concept
for “writing” concept.
- Concept “Book” is a cause concept
for “reading” concept.
That means:
- Concept “Book” is the effect in {Writing -> Book} cause-effect relation.
- Concept “Book” is the cause in {Book ->
Motivation system
Concepts are tightly integrated with motivation system. One sub
goal is embedded into every concept.
Sub goal is represented by Concept.Desirability attribute. The more useful and
desirable concept is the bigger Concept.Desirability
value is.
Surface and abstract
concepts
From
interaction with the real world there are two types of concept:
Surface
concepts relate to hardcoded units.
Abstract
concepts – have relations only with other concepts (and have no direct relations with
hardcoded units).
Active concept
Concept may become an active concept.
It this
case concept is temporary copied to
the short memory (usually concepts are stored in main memory).
Formal definition of a
concept
Concept – is a general idea derived or
inferred from outer world.
Concept is a notion of conceptual memory model.