Automated Reasoning pp 167-179 | Cite as
What Are the Limitations of the Situation Calculus?
Chapter
Abstract
The situation calculus [8] is a methodology for expressing facts about action and change in formal languages of mathematical logic. It involves expressions for situations and actions (events), and the function Result that relates them to each other. The possibilities and limitations of this methodology have never been systematically investigated, and some of the commonly accepted views on this subject seem to be inaccurate.
Keywords
Frame Problem Concurrent Action Temporal Reasoning Nonmonotonic Reasoning Dine Room
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References
- [1]James Allen (1984): Towards a General Theory of Action and Time. Artificial Intelligence 23, 123–154.MATHCrossRefGoogle Scholar
- [2]Steve Hanks and Drew McDermott (1987): Nonmonotonic Logic and Temporal Projection. Artificial Intelligence 33(3), 379–412.MATHGoogle Scholar
- [3]Robert Kowalski and Marek Sergot (1986): A Logic-based Calculus of Events. New Generation Computing 4, 67–95.CrossRefGoogle Scholar
- [4]Vladimir Lifschitz (1987): Formal Theories of Action (preliminary report). Proc. IJCAI-87, 966–972.Google Scholar
- [5]Vladimir Lifschitz and Arkady Rabinov (1989): Miracles in Formal Theories of Actions. Artificial Intelligence 38(2), 225–237.MATHCrossRefMathSciNetGoogle Scholar
- [6]John McCarthy (1977): Epistemological Problems of Artificial Intelligence. Proc. IJCAI-77, 1038–1044.Google Scholar
- [7]John McCarthy (1986): Applications of Circumscription to Formalizing Common Sense Knowledge. Artificial Intelligence 26(3), 89–116.CrossRefGoogle Scholar
- [8]John McCarthy and Patrick Hayes (1969): Some Philosophical Problems from the Standpoint of Artificial Intelligence. In: B. Meltzer and D. Michie, eds.: Machine Intelligence 4. 463–502. Edinburgh: Edinburgh University Press.Google Scholar
- [9]Edwin Pednault (1987): Formulating Multi-agent, Dynamic World Problems in the Classical Planning Framework. In: Michael Georgeff and Amy Lansky, eds.: Reasoning about Actions and Plans. 47–82. San Mateo, CA: Morgan Kaufmann.Google Scholar
- [10]Edwin Pednault (1988): Extending Conventional Planning Techniques to Handle Actions with Context-dependent Effects. Proc. AAAI-88, 55–59.Google Scholar
- [11]Len Schubert (1990): Monotonic Solution of the Frame Problem in the Situation Calculus: an Efficient Method for Worlds with Fully Specified Actions. In: H.E. Kyberg, R.P. Loui, and G.N. Carlson, eds.: Knowledge Representation and Defeasible Reasoning. Boston: Kluwer Academic Press. 23–67.CrossRefGoogle Scholar
- [12]Yoav Shoham and Nita Goyal (1988): Temporal Reasoning in AI. In: Howard Shrobe, ed.: Exporing Artificial Intelligence. San Mateo, CA: Morgan Kaufmann.Google Scholar
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© Springer Science+Business Media Dordrecht 1991