Page 81 - DCAP506_ARTIFICIAL_INTELLIGENCE

Unit 5: Knowledge Representation

on a simple substrate. Perhaps we could invent such a system, but maybe we should wait until Notes
we’ve got something that works before we try to simplify it that much.

Self Assessment

Fill in the blanks:

14. When applied to problems outside the specified set, the ........................... begins to break
down and a great deal of additional machinery is needed, defeating the original
simplification.

15. These days, large programs are written in many different languages, and linked using
“........................... languages”.

5.6 Summary

 Knowledge management is a critical component of an organizations success. Knowledge
assets are the knowledge that an organization owns or needs to own, to achieve its goals.
 Explicit knowledge is used in the design of routines, standard operation procedures, and
the structure of data records.
 Tacit knowledge can be attained through dialogue, job shadowing, storytelling, and sharing
of best practices and lessons learned.
 Knowledge representation is an area in artificial intelligence that is concerned with how
to formally “think”, that is, how to use a symbol system to represent “a domain of
discourse”.
 Knowledge acquisition can be considered as one of the technologies contributing to the
development of knowledge-based Systems (KBS).
 A semantic network is a network which represents semantic relations between the concepts.
This is often used as a form of knowledge representation.

 Resolution is another type of proof system based on refutation which is better suited to
computer implementation than systems of axioms and rules.
 Trying to unify AI is fruitless because every problem and domain has enough of its own
character that any AI system that purports to be general in fact requires a significant
amount of additional code and modification to get it to actually work in that domain.

5.7 Keywords

Explicit Knowledge: Knowledge that can be more easily attained and is often expressed or
documented in a formal, systematic manner.
Frame: A frame is an artificial intelligence data structure used to divide knowledge into
substructures by representing “stereotyped situations.”
Knowledge Acquisition: Knowledge acquisition can be considered as one of the technologies
contributing to the development of knowledge-based Systems (KBS).
Knowledge Representation: It is an area in artificial intelligence that is concerned with how to
formally “think”, that is, how to use a symbol system to represent “a domain of discourse”.

Knowledge: Knowledge is information extracted, filtered or formatted in some way.

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