Carnegie Mellon University · 15-281

Artificial Intelligence: Representation and Problem Solving

人工智能：表示与问题求解

Theory and practice of artificial intelligence, including knowledge representation, planning, search, and finding optimal or near-optimal solutions.

Subject：Artificial Intelligence

Level：Undergraduate

Suggested stage：Years 2–3 (inferred)

Public-material edition：2026

Language：English

Videos：Not verified

Assignments / solutions：Available / Not verified

Prerequisites

CMU 15-122Probability →Mathematical foundations

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▶Lectures, video & readingCourse content in the official sequence12

Topic 1: Search Topic 2: Heuristics Topic 3: Game Playing Topic 4: Constraint Satisfaction Topic 5: Planning Topic 6: Probability Topic 7: Bayesian Networks Topic 8: Decision Making Topic 9: Machine Learning Topic 10: Reinforcement Learning Topic 11: Language and Perception Topic 12: Responsible AI

✓Assignments & practiceOpen the matching problem or assignment page12

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Carnegie Mellon University School of Computer Science · verified 2026-08-03

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