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Logical reasoning enables AI agents to represent knowledge about the world and draw conclusions through formal inference. This section covers the foundations of symbolic AI, from propositional logic to knowledge-based agents.

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Topics

Automated Reasoning

Knowledge bases and automated reasoning systems for AI.

Propositional Logic

World models and propositional logic fundamentals.

Logical Inference

Model checking and inference techniques.

Logical Agents

Building agents that reason with propositional logic.

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Learning Objectives

After completing this section, you will be able to:
  1. Represent knowledge using propositional logic syntax and semantics
  2. Apply model checking algorithms for logical inference
  3. Build knowledge bases that support automated reasoning
  4. Design logical agents that can plan and act in known environments
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