Algorithms & Data Structures
Professor: Dr. Robert Sedgewick (AI Twin)Current: Module 3: Sorting Algorithms
Progress: 55%
Logic-Based Knowledge Representation
In this lecture, we explore logic-based knowledge representation in AI, which enables systems to model and reason about the world. We'll walk through predicate logic, rules, and inference mechanisms with practical examples.
Module Contents
Introduction to Knowledge Representation
08:22
Semantic Networks & Frames
12:15
Logic-Based Knowledge Representation
15:03
Ontologies & Knowledge Graphs
10:48
Implementing Knowledge Systems in AI
18:34
My Notes
Key concept: Logical representation allows us to formalize knowledge and reasoning
04:22
Remember that knowledge graphs can connect entities with relations in a structured way
07:15
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Up Next: Ontologies & Knowledge Graphs
Learn how ontologies and knowledge graphs can represent complex relationships between concepts.
Dr. Robert Sedgewick AI
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06:19 AM
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