This episode explores knowledge-based agents in AI, covering knowledge bases, inference, propositional logic, theorem proving, logical equivalence, resolution, conjunctive normal form (CNF), proof by contradiction, and distributed knowledge representation and reasoning.
Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.

This episode explores knowledge-based agents in AI, covering knowledge bases, inference, propositional logic, theorem proving, logical equivalence, resolution, conjunctive normal form (CNF), proof by contradiction, and distributed knowledge representation and reasoning. Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.

This episode explores knowledge-based agents in AI, covering knowledge bases, inference, propositional logic, theorem proving, logical equivalence, resolution, conjunctive normal form (CNF), proof by contradiction, and distributed knowledge representation and reasoning.
Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.

CIS 5210 - Module 6 - Knowledge-Based Agents and Logical Reasoning

This is a podcast for the University of Pennsylvania’s Artificial Intelligence Course (CIS 5210).  The episodes are automatically generated using NotebookLM by uploading Prof. Chris Callison-Burch’s lecture notes and lecture slides.

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This is a podcast for the University of Pennsylvania’s Artificial Intelligence Course (CIS 5210). The episodes are automatically generated using NotebookLM by uploading Prof. Chris Callison-Burch’s lecture notes and lecture slides.

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CIS 5210 - Module 6 - Knowledge-Based Agents and Logical Reasoning

CIS 5210 - Module 6 - Knowledge-Based Agents and Logical Reasoning