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Computer Science

Lecture 2: Reasoning: Goal Trees and Problem Solving

Course
Artificial Intelligence
Instructor
Patrick H. Winston
Department
Electrical Engineering and Computer Science
Recorded
Fall 2010
Level
Undergraduate
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About this lecture

This lecture covers a symbolic integration program from the early days of AI. We use safe and heuristic transformations to simplify the problem, and then consider broader questions of how much knowledge is involved, and how the knowledge is represented.

← Lecture 1: Introduction and ScopeLecture 3: Reasoning: Goal Trees and Rule-Based Expert Systems →

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