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Inference

Released , 18 min

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What does “inference” really mean in AI? In this video, we break down the concept step by step. We’ll define inference, contrast it with reasoning, and explore why it matters as a system-level property in artificial intelligence. Along the way, we’ll look at classic logic examples, blurred cases like diagnosis and translation, and practical tools for inference in knowledge graphs and ontologies.

What you’ll learn:

  • The difference between a sentence and a proposition
  • How inference works in logic and everyday AI tasks
  • Degrees of inference: strength, complexity, novelty
  • Why reasoning is not the same as inference
  • Real-world inference tools (SPARQL, reasoners, Python scripts)

Whether you’re new to AI concepts or diving deeper into ontologies and semantic web, this video gives you the foundation to understand what inference is—and why it’s central to AI.

Logic and Inference

Part 2 of 5 in this series.

  1. Logic Explained: The Philosophy of Arguments25:25
  2. Inference17:44
  3. Inference in Protégé19:41
  4. Fallacies Explained: Why Bad Arguments Fail12:22
  5. SPARQL Inference Made Easy17:38

Next in the series: Inference in Protégé

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