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Computer Science
Lecture 3: Reasoning: Goal Trees and Rule-Based Expert Systems
- Course
- Artificial Intelligence
- Instructor
- Patrick H. Winston
- Department
- Electrical Engineering and Computer Science
- Recorded
- Fall 2010
- Level
- Undergraduate
Free account required. The lecture opens at MIT OpenCourseWare.
About this lecture
We consider a block-stacking program, which can answer questions about its own behavior, and then identify an animal given a list of its characteristics. Finally, we discuss how to extract knowledge from an expert, using the example of bagging groceries.
← Lecture 2: Reasoning: Goal Trees and Problem SolvingLecture 4: Search: Depth-First, Hill Climbing, Beam →
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