PhD CS – Intelligent Systems Body of Knowledge

Knowledge Based AI Reading List

  • V. R. Benjamins (1994), On a Role of Problem Solving Methods in Knowledge Acquisition, EKAW, pp. 137-157.
  • B. Chandrasekaran, T.R. Johnson, & J.W. Smith (1992), Task-Structure Analysis for Knowledge Modeling, CACM 35(9): 124-137.
  • R. Davis (1979), Interactive Transfer of Expertise: Acquisition of New Inference Rules, Artificial Intelligence 12(2): 121-157.
  • Cohn, A. G. (1997). Qualitative spatial representation and reasoning techniques. In G. Brewka & C. Habel & B. Nebel (Eds.), Proceedings of KI-97 (pp. 1-30). Freiburg, Germany: Springer-Verlag.
  • J. de Kleer & J.S. Brown (1984), A Qualitative Physics Based on Confluences, Artificial Intelligence 24(1-3): 7-83.
  • B. Falkenhainer, K. D. Forbus, & D. Gentner (1989), The Structure-Mapping Engine: Algorithm and Examples, Artificial Intelligence 41(1):1-63.
  • Forbus, K. D. (1984). Qualitative Process Theory. Artificial Intelligence, 24, 85-168.
  • Forbus, K. D., & de Kleer, J. (1993). Building Problem Solvers. Cambridge, MA: The MIT Press, chapters 6,7,9.15.
  • K.D. Forbus, R.W. Ferguson, & J.M. Usher (2000), Towards a Computational Model of Sketching, in Proceedings of the International Conference of Intelligent User Interfaces, Santa Fe.
  • D. Gentner & K. Forbus (1991), MAC/FAC: A model of similarity-based retrieval, in Proceedings of the Cognitive Science Society.
  • A. Goel (1997), Design, Analogy, and Creativity, IEEE Expert 12(3):62-70.
  • K. Hammond (1989), Case-Based Planning: Viewing Planning as a Memory Task, chapters 1-3, Academic Press.
  • P.J. Hayes (1985). The Second Naive Physics Manifesto, in J. Hobbs & B. Moore (eds.), Formal Theories of the Commonsense World, Ablex, pp. 1-36.
  • B. Hayes-Roth & F. Hayes-Roth (1979), A Cognitive Model of Planning, Cognitive Science, 3: 275-310.
  • J. L. Kolodner & D. B. Leake (1996), A Tutorial Introduction to Case-Based Reasoning, in D. B. Leake (ed.), Case-Based Reasoning: Experiences, Lessons, and Future Directions.
  • B. Kuipers (2000), The Spatial Semantic Hierarchy, Artificial Intelligence, 119:191-233.
  • J. Laird, A. Newell & P. Rosenbloom (1987), SOAR: An Architecture for General Intelligence, Artificial Intelligence, 33: 1-64.
  • D. Lenat & R. Guha (1990), Building Large Knowledge-Based Systems, chapters 1-2, Addison-Wesley.
  • K. Mahesh, K.P. Eiselt, & J. Holbrook (1999). Sentence Understanding in Understanding: Interaction and Integration of Knowledge Sources, in Understanding Language Understanding, A. Ram & K. Moorman (eds.), MIT Press.
  • M. Minsky (1975), A Framework for Representing Knowledge, in P.H. Winston (ed.), The Psychology of Computer Vision, McGraw-Hill; reprinted in J. Haugeland (ed.) (1981), Mind Design: Philosophy, Psychology, Artificial Intelligence, MIT Press; also reprinted in A. Collins & E.E. Smith (eds.) (1988), Readings in Cognitive Science, Morgan Kaufmann, section 2.5.
  • A. Ram & D.B. Leake (1995), Learning, Goals, and Learning Goals, ch. 1 of Goal-Driven Learning, MIT Press.
  • R.C. Schank & R. Abelson (1977), Scripts, Plans, Goals and Understanding, Lawrence Erlbaum, chapters 1-3. Or the equivalent chapter in A. Collins & E.E. Smith (eds.) (1988), Readings in Cognitive Science, Morgan Kaufmann, section 2.6.