Materials

Textbook

• S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 4th Edition, Pearson, 2020.
• R.S. Sutton and A.G. Barto, Reinforcement Learning: An Introduction, 2nd Edition, MIT Press, 2018.
• I. Bratko, PROLOG Programming for Artificial Intelligence, 4th Edition, Pearson, 2011.

Reference book

• E. Rich and K. Knight, Artificial Intelligence, 3rd Edition, McGraw Hill, 2017.
• D. Khemani, A First Course in Artificial Intelligence, 6th reprint Edition, McGraw-Hill Education, 2018.
• Chris Meyers, Prolog in Python, 2009.

Research Papers

• “From So Simple a Beginning”: Species of Artificial Intelligence, Nigel Shadbolt, Daedalus, 2022; 151 (2): 28–42.
• “On Computable Numbers, with an application to the Entscheidungsproblem”, Alan Turing, Proc. London Mathematical Soc., 1937.
• “Computing Machinery and Intelligence”, Alan Turing, Mind, 1950.

Popular Science Books/Articles

• “Genius Makers: The Mavericks Who Brought A.I. to Google, Facebook, and the World”, Cade Metz, Dutton, 2021.

Related MOOCs

• An Introduction to AI, Mausam, IIT Delhi, NPTEL.
• Artificial Intelligence: Principles and Techniques, Percy Liang and Dorsa Sadigh, Stanford.
• CS 188: Artificial Intelligence, UC Berkeley.
• INFO8006 - Introduction to Artificial Intelligence, ULiege.