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“Classical” Expert Systems

  • 614improject
  • Mar 17, 2016
  • 1 min read

Classical Expert Systems

Mycin

Category - Diagnosis

Domain - Bacterial blood infections

Characteristics - Used certainty factors to handle uncertainty.

Used backward chaining as inferencing method.

Prospector

Category - Advice

Domain - Mineral Geology

Characteristics - Used fuzzy logic to handle uncertain information. Produced results matching those of a human very closely.

Oncocin

Category - Planning

Domain - Medical - cancer treatment

Characteristics - Automated process of knowledge acquisition by consulting human domain experts directly using an interview session at the computer terminal.

Reduced time and cost in maintaining knowledge base and eliminated neccesity for knowledge engineer and programmer to enter new domain knowledge.

Dendral

Category - Classification

Domain - Molecular chemistry

Characteristics - Used forward chaining.

The earliest expert system taking over 20 person-years to develop.

Internist

Category - Diagnosis

Domain - Medical diagnosis of internal diseases

Characteristics - Combined forward chaining and backward chaining to provide results.

Knowledge base had over 100,000 rules.

Strips

Category - Not strictly an expert system - used in Planning systems

Domain - Varies. Initially used in Robotic developments.

Characteristics - Provided instructions to allow a robot to navigate a room.

Major influence in development of planning expert systems.

R1/Xcon

Category - Planning

Domain - Computer configuration

Characteristics - Domain was such that no certainty handling was required.

Mainly used the specificity conflict resolution strategy.

OPS5

Category - Not an actual expert system

Domain - Production systems

Characteristics - Introduced the use of the RETE algorithm. Implemented using LISP.

PDF File : Classical Expert System ( Chapter 10)


 
 
 

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