|
gptkbp:instanceOf
|
gptkb:artificial_intelligence
|
|
gptkbp:application
|
Engineering
Finance
Geology
Medical Diagnosis
Customer Support
|
|
gptkbp:canBe
|
gptkb:Shell_System
Domain-specific System
|
|
gptkbp:component
|
gptkb:graphical_user_interface
gptkb:Inference_Engine
Knowledge Base
|
|
gptkbp:declinedAfter
|
Maintenance complexity
Rise of machine learning
|
|
gptkbp:deployment
|
1970s
|
|
gptkbp:developedBy
|
gptkb:Edward_Feigenbaum
gptkb:Bruce_Buchanan
|
|
gptkbp:field
|
gptkb:artificial_intelligence
Computer Science
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Expert Systems
|
|
gptkbp:knowledgeRepresentation
|
Rules
Facts
|
|
gptkbp:limitation
|
Difficulty in handling incomplete knowledge
Knowledge acquisition bottleneck
Lack of common sense
Limited learning ability
|
|
gptkbp:notableExample
|
gptkb:DENDRAL
gptkb:MYCIN
gptkb:XCON
|
|
gptkbp:originatedIn
|
1970s
|
|
gptkbp:output
|
advisor
Diagnosis
Explanation
|
|
gptkbp:popularFor
|
1980s
|
|
gptkbp:purpose
|
Emulate decision-making ability of human experts
|
|
gptkbp:reasoningType
|
Backward Chaining
Forward Chaining
Rule-based Reasoning
|
|
gptkbp:relatedConcept
|
gptkb:Machine_Learning
gptkb:Knowledge_Engineering
Decision Support System
Rule-based System
|
|
gptkbp:requires
|
gptkb:Domain_Expert
gptkb:Knowledge_Engineer
End User
|
|
gptkbp:uses
|
Heuristics
Certainty factors
If-then rules
|
|
gptkbp:bfsParent
|
gptkb:Fuzzy_Logic
gptkb:fuzzy_logic
|
|
gptkbp:bfsLayer
|
5
|