Page 30 - DCAP310_INTRODUCTION_TO_ARTIFICIAL_INTELLIGENCE_AND_EXPERT_SYSTEMS

Introduction to Artificial Intelligence & Expert Systems

Notes Self Assessment

State whether the following statements are true or false:
6. Knowledge determines a system’s competence by what it knows.
7. Different areas of knowledge will have same kinds of evidence relevant to those areas,
and when the evidence reaches a certain level.
8. Propositional Knowledge is knowledge that an entire proposition is false.
9. Machine readable knowledge-bases store knowledge, but only in system readable forms.

10. Solutions are offered based upon automated deductive.
2.3 Knowledge-based Systems (KBS)

A knowledge-based system is a computer program that reasons and uses knowledge to solve
complex problems. Knowledge is acquired and represented using various knowledge
representation techniques rules, frames and scripts. The basic advantages offered by such system
are documentation of knowledge, intelligent decision support, self learning, reasoning and
explanation. Knowledge-based systems are systems based on the methods and techniques of
Artificial Intelligence. Their core components are:

Knowledge base
Acquisition mechanisms
Inference mechanisms
KBS Consist of following things:

Symbolic: It incorporates knowledge that is symbolic [as well as numeric].
Heuristic: It reasons with judgmental, imprecise, and qualitative knowledge as well as
with formal knowledge of established theories.

Transparent: Its knowledge is simply and explicitly represented in terms familiar to
specialists, and is separate from its inference procedures. It provides explanations of its
line of reasoning and answers to queries about its knowledge.
Flexible: It is incrementally re-finable and extensible. More details can be specified to
refine its performance; more concepts and links among concepts can be specified to broaden
its range of applicability.
It is an expert system if it provides expert-level solutions. The power lies in task-specific
knowledge.

2.3.1 Characteristics of KBS

Following are the characteristics of the knowledge-based systems:
1. Expand the knowledge-base for the domain of interest.
2. Support for heuristics analysis.

3. Application of search techniques.
4. It is having capability to infer new knowledge from existing knowledge.

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