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Knowledge Representation in Artificial Intelligence

Knowledge Representation in Artificial Intelligence (AI) refers to the methods used to encode information about the world in a format that a computer system can understand and use to solve complex problems.

Key Features:

  1. Types:
  • Logical (e.g., propositional and predicate logic)
  • Semantic Networks
  • Frames
  • Ontologies
  • Production Rules
  1. Purpose:
  • Enable reasoning
  • Simplify decision-making
  • Represent relationships and entities in the environment
  1. Applications:
  • Expert systems
  • Natural Language Processing
  • Machine Learning
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