Topic outline

  • I - Constraint Satisfaction

    • II - Knowledge representation and reasoning

      • III - Reasoning under uncertainty

        • IV - Planning

          • V - Rule based systems

            • Bibliography


              David L. Poole,  Alan K. Mackworth. Artificial Intelligence: foundations of computational agents (2nd edition), Cambridge University Press, 2017– Computers.

              Stuart J. Russell and Peter Norvig. Artificial Intelligence: A Modern Approach (3rd edition). Pearson Education 2010.

              Edward Tsang. Foundations of Constraint Satisfaction, Computation in Cognitive Science. Elsevier Science. Kindle Edition, 2014.

              Ronald Brachman and Hector Levesque. Knowledge Representation and Reasoning. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA. 2004.

              Genesereth, M., and Nilsson, N., Logical Foundations of Artificial Intelligence, San Francisco: Morgan Kaufmann, 1987.

              Nils Nilsson, N., Artificial Intelligence: A New Synthesis, San Francisco: Morgan Kaufmann, 1998.

              David Barber, Bayesian Reasoning and Machine Learning, Online version February 2017.