Knowledge-Driven AI System

A Knowledge-Driven AI System is an artificial intelligence system that incorporates domain expertise and human knowledge (to enable intelligent decision making and reasoning).

• Context:
  • It can utilize Expert Knowledge through knowledge representation.
  • It can perform Logical Reasoning through inference engines.
  • It can maintain Knowledge Bases through expert input.
  • It can generate Explanations through reasoning chains.
  • It can handle Complex Decisions through rule systems.
  • ...
  • It can often work with Small Datasets through knowledge augmentation.
  • It can often provide Interpretable Results through transparent reasoning.
  • It can often require Domain Experts for knowledge maintenance.
  • It can often support Specialized Domains through expert rules.
  • ...
  • It can range from being a Simple Rule Engine to being an Advanced Reasoning System, depending on its knowledge complexity.
  • It can range from being a Domain Specific System to being a Multi-Domain System, depending on its knowledge scope.
  • ...
  • It can integrate Expert Rules with machine learning.
  • It can combine Domain Knowledge with statistical analysis.
  • It can support Hybrid Approaches through knowledge-data integration.
  • ...
• Examples:
  • Expert Systems, such as:
    • Medical Diagnosis Systems, such as:
      • Clinical Decision Support for patient diagnosis.
      • Treatment Recommendation System for therapy planning.
    • Engineering Design Systems, such as:
      • CAD Expert System for design optimization.
      • Process Planning System for manufacturing.
  • Knowledge Base Systems, such as:
    • Semantic Reasoning Engines, such as:
      • Ontology-Based System for knowledge representation.
      • Logic Programming System for inference.
  • ...
• Counter-Examples:
  • Data-Driven AI, which learns primarily from statistical patterns rather than expert knowledge.
  • Pure Neural Network, which relies solely on training data without domain expertise.
  • Statistical Model, which uses only mathematical patterns without expert rules.
• See: Expert System, Knowledge Representation, Semantic Web, Logical Reasoning, Ontology Engineering.

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