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AI2: Coverage of AI: A Modern Approach 2nd Edition

I. Artificial Intelligence (Chapters 1-2)

• Intelligent Agents (Module 4 - task 7)

II. Problem Solving (Chapters 3-4)

• Chapter 5 : Constraint satisfaction (Module 1 - task 1)
• Chapter 3 : Solving problems by searching (Module 1 - task 2)
• Chapter 4 : Informed search and exploration (Module 1 - task 2)

III. Knowledge and Reasoning (Chapters 6-7, 9-10)

• Chapter 7 : Logical Agents [Propositional logic (Module 1 - task 2); Resolution Theorem (Module 2 - task 3)]
• Chapter 8 : First-order logic (Module 2 - task 3)
• Chapter 9 : Inference in first-order logic (Module 2 - task 3)
• Chapter 10 : Knowledge Representation [Situation calculus and the Frame problem (Module 4 - task 7)]

IV. Planning (Chapters 11-12)

• Planning (Module 4 - task 7)

V. Uncertain Knowledge and Reasoning (Chapters 13-17)

• Chapter 13 : Undertainty (Module 3 - task 6)
• Chapter 14 : Probabilistic Reasoning (Module 3 - task 6)
• Chapter 15 : Probabilistic Reasoning over Time [Low-level speech recognition, hidden Markov Models (Module 1 - task 1)]
• Chapter 16 : Expected utility as an example of dynamic programming (Module 1 - task 1)

VI. Learning (Chapters 18-21)

• Chapter 18 : Learning from Observations [Decision trees (Module 3 - task 5)]
• Chapter 20 : Statistical Learning [Neural networks (Module 3 -task 5)]

VII. Communicating, Perceiving and Acting (Chapters 22-25)

• Chapter 22 : Communication [Grammars (Module 2 - task 4), Semantic interpretation (Module 2 - task 4)]
• Chapter 24 : Perception [Low-level vision, line labelling (Module 1 - task 1)]

Additional Topics

• Common Knowledge and the formalisation of communicative actions (Module 4 - task 8)

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This page is maintained by the Course organiser, David Barber (dbarber@anc.ed.ac.uk)