Chapter: Artificial Intelligence(AI) - Expert System

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Expert System Characteristics

Expert system operates as an interactive system that responds to questions, asks for clarifications, makes recommendations and generally aids the decision-making process.

Expert System  Characteristics

 

 

Expert system operates as an interactive system that responds to questions, asks for clarifications, makes recommendations and generally aids the decision-making process.

 

Expert systems           have many Characteristics :

 

Operates as an interactive system

 

This means an expert system :

 

Responds to questions

 

Asks for clarifications

 

Makes recommendations

 

Aids the decision-making process.

 

Tools have ability to sift (filter) knowledge

 

Storage and retrieval of knowledge

 

Mechanisms to expand and update knowledge base on a continuing basis.

 

Make logical inferences based on knowledge stored

 

Simple reasoning mechanisms is used

 

Knowledge  base  must  have  means  of  exploiting  the  knowledge

 

stored, else it is useless; e.g., learning all the words in a language, without knowing how to combine those words to form a meaningful sentence.

 

Ability to Explain Reasoning

 

Remembers logical chain of reasoning; therefore user may ask

 

for explanation of a recommendation

 

factors considered in recommendation

 

Enhances user confidence in recommendation and acceptance of expert system

 

Domain-Specific

 

A particular system caters a narrow area of specialization;

 

e.g., a medical expert system cannot be used to find faults in an

 

electrical ci                            uit.

 

Quality of advice offered by an expert system is dependent on the amount of knowledge stored.

 

Capability to assign Confidence Values

 

Can deliver quantitative information

 

Can interpret qualitatively derived values

 

Can address imprecise and incomplete data through assignment of confidence values.

Applications

 

Best  suited  for  those  dealing  with  expert   heuristics  for  solving

 

problems.

 

Not a suitable choice for those problems that can be solved using purely numerical techniques.

 

Cost-Effective alternative to Human Expert

 

Expert systems have become increasingly popular because of their specialization, albeit in a narrow field.

 

Encoding and storing the domain-specific knowledge is economic process due to small size.

 

Specialists  in  many  areas  are  rare  and  the  cost  of  consulting them  is high; an    expert system of    those areas can be useful and cost-effective  alternative in the    long run.

 

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