PhD HCC – AI Reading List

  1. Stuart Russell & Peter Norvig, Artificial Intelligence Prentice-Hall, 2010, 3rd edition. Chapters 3,7,8, 10, 13, 14, 15 Search, Propositional and First Order Logic, Probability, Bayes Networks, Markov Decision Processes
  2. Arthur Markman Knowledge Representation, Chapters 3-9 Lawrence Erlbaum, 1999
  3. Pat Langley, John Laird & Seth Rogers Cognitive Architectures: Research Issues and Challenges Cognitive Systems Research (2009) 10(2): 141-160.
  4. Janet Kolodner Case-Based Reasoning Morgan Kauffman, 1993 Ch. 1
  5. Tom Mitchell Machine Learning, Ch. 1 McGraw-Hill, 1997
  6. Pedro Domingos A Few Useful Things to Know about Machine Learning CACM 55(10): 78-87, 2012
  7. Charles Kemp and Joshua Tenenbaum The Discovery of Structural Form PNAS 105(31): 10687-10692, 2008.
  8. Michael Mateas Expressive AI: Games and AI DiGRa 2003
  9. Nicholas Davis, Boyang Li, Brian O’Neill, and Mark O. Riedl. Distributed creative cognition in digital filmmaking. ACM C&C 2011, pp. 207-216.
  10. William Murdock & Ashok Goel Meta-Case-Based Reasoning: Self-Improvement through Self-Understanding JETAI (2008) 20:1-38.