Knowledge Representation
and Reasoning:

General Resources

1. Just for fun:
   • An ontology of ice cream (New Yorker cover)
   • The Universe in a Grain of Sand (Roz Chast cartoon)
   • Other toons

2. From AAAI's "AI Topics":
   • Representation
   • Reasoning

3. Encyclopedias:
   • Guide to KR articles in Shapiro's Encyclopedia of Artificial Intelligence, 2nd edition

   • Wilson, Robert A., & Keil, Frank (eds.) (2001), MIT Encyclopedia of Cognitive Science ("MITECS") (Cambridge, MA: MIT Press).
     • Clicking on the title link from a UB computer may give you immediate access; you can ignore any login windows. If not, try this link.
     • Contains numerous articles on KRR topics.
     • For a general intro article with links, see:
       Hayes, Patrick (1999), "Knowledge Representation"

4. Professional Society:
   Principles of Knowledge Representation and Reasoning, Incorporated

5. Syllabi for other KRR courses, each with numerous links to various papers, slide presentations, etc:
   • Center for History and New Media Syllabus Finder
   • These are especially good
     NB: As of 8/08, all of these links work, though they don't necessarily lead to the most recent version of the course; you may have to search around a bit):
     • Tim Finin's UMBC CMSC 771 Knowledge representation and reasoning
     • Leora Morgenstern's CS4725 Knowledge Representation
     • Richard E. Fikes's CS222: Knowledge Representation

6. Surveys, Overviews, Anthologies (current semester's textbooks excluded):
   • Brachman, Ronald J., & Smith, Brian Cantwell (eds.) (1980), "Special Issue on Knowledge Representation", SIGART Newsletter No. 70 (February).

   • Brachman, Ronald J. & Levesque, Hector J. (eds.) (1985), Readings in Knowledge Representation (Los Altos, CA: Morgan Kaufmann); isbn 0-934613-01-X.

   • Cercone, Nick & McCalla, Gordon (eds.) (1983), Special Issue on Knowledge Representation, IEEE Computer 16(10).
     Containing, among other papers:
     • McCalla, Gordon, & Cercone, Nick, "Approaches to Knowledge Representation", pp. 12-15.

     • Woods, William A., "What's Important about Knowledge Representation?", pp. 22-27.

   • King, Margaret, & Rosner, Michael (eds.) (1986), Special Issue on Knowledge Representation, Proceedings of the IEEE 74(10) (October).

   • Levesque, Hector J. (1986), "Knowledge Representation and Reasoning", in Joseph F. Traub, Barbara J. Grosz, Butler W. Lampson, & Nils J. Nilsson (eds.), Annual Review of Computer Science (Palo Alto, CA: Annual Reviews) 1: 255-287.

   • Levesque, Hector J. (1986), "Making Believers out of Computers", Artificial Intelligence 30: 81-108.

   • Cercone, Nick & McCalla, Gordon (eds.) (1987), The Knowledge Frontier: Essays in the Representation of Knowledge (New York: Springer-Verlag).
     • Revised and expanded version of Cercone & McCalla 1983.

   • Reichgelt, Han (1991), Knowledge Representation: An AI Perspective (Norwood, NJ: Ablex).

   • Rich, Charles (ed.) (1991), Special Issue on Implemented Knowledge Representation and Reasoning Systems, SIGART Bulletin 2(3) (June).

   • Davis, Randall; Shrobe, Howard; & Szolovits, Peter (1993), "What Is a Knowledge Representation?", AI Magazine 14(1): 17-33.
     • locally cached copy; password-protected
     • slide-show version by Brandon Corfman (PDF)

   • Kumar, Deepak (UBCSE PhD!), & Chalupsky, Hans (UBCSE PhD!) (eds.) (1993), Special Issue: Propositional Knowledge Representation, Journal of Experimental & Theoretical Artificial Intelligence 5(2&3): 87-271.

   • Finin, Tim (2004), "Overview of KRR" (PDF slides)

   • Fikes, Richard (2004), "Introduction to KR" (PDF slides)

   • Shapiro, Stuart C. (2003), "Knowledge Representation", in Lynn Nadel (ed.), Encyclopedia of Cognitive Science (Macmillan Publishers), Vol. 2, pp. 671-680.