The fundamental goal of
Knowledge Representation is to facilitate inferencing (conclusions) from
knowledge. The issues that arise while using
KR techniques are many. Some of these are explained below.
· Important
Attributes : Any attribute of
objects so basic that they occur in almost every problem domain ?
·
Relationship
among attributes: Any important
relationship that exists among object attributes ?
· Choosing
Granularity : At what level of detail
should the knowledge be represented ?
·
Set of objects :
How sets of objects be represented ?
· Finding
Right structure : Given a large amount of
knowledge stored, how can relevant parts be accessed ?
wat are ai techniques in knowledge representation. do reply soon
ReplyDeleteIn Knowledge representation we follow
Delete1. Predicate Logic
2. Propositional Logic
with resolution procedure.
Basic Issues of Knowledge Representation are
1. Semantic Nets
2. CD Diagrams
3. Frames
4. scripts
These are Declarative mechanisms., procedures are written in form of Procedural mechanisms by using AI Languages.
sir please explain all these with diagrams
ReplyDelete1. Semantic Nets
2. CD Diagrams
3. Frames
4. scripts