Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Artificial intelligence system
|
| gptkbp:application |
Engineering
Finance Geology Customer support Medical diagnosis |
| gptkbp:canBe |
fuzzy logic
Embedded system Bayesian reasoning Deterministic Standalone application Certainty factors Probabilistic Hybrid system Web-based system |
| gptkbp:component |
gptkb:graphical_user_interface
gptkb:Inference_engine Knowledge base |
| gptkbp:declinedAfter |
Maintenance complexity
Knowledge acquisition bottleneck Rise of machine learning |
| gptkbp:developedBy |
Knowledge engineers
|
| gptkbp:field |
gptkb:artificial_intelligence
Computer science |
| gptkbp:historicalSignificance |
First successful commercial AI systems
|
| https://www.w3.org/2000/01/rdf-schema#label |
Expert systems
|
| gptkbp:knowledgeRepresentation |
Rules
Facts |
| gptkbp:limitation |
Knowledge acquisition bottleneck
Lack of common sense Difficulty in handling uncertainty |
| gptkbp:notableExample |
gptkb:DENDRAL
gptkb:MYCIN gptkb:XCON |
| gptkbp:originatedIn |
1970s
|
| gptkbp:output |
advisor
Recommendation Diagnosis |
| gptkbp:purpose |
Emulate decision-making ability of human experts
|
| gptkbp:reasoningMethod |
Backward chaining
Forward chaining |
| gptkbp:relatedConcept |
Machine learning
Decision support system Knowledge engineering Rule-based system |
| gptkbp:uses |
Heuristics
If-then rules Domain-specific knowledge |
| gptkbp:bfsParent |
gptkb:Cyc_project
|
| gptkbp:bfsLayer |
7
|