Abstract
A new equational foundation is presented for the Fluent Calculus, an established predicate calculus formalism for reasoning about actions. We discuss limitations of the existing axiomatizations of both equality of states and what it means for a fluent to hold in a state. Our new and conceptually even simpler theory is shown to overcome the restrictions of the existing approach. We prove that the correctness of the Fluent Calculus as a solution to the Frame Problem still holds under the new foundation. Furthermore, we extend our theory by an induction axiom needed for reasoning about integer-valued resources.
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Franz Baader and Jörg H. Siekmann. Unification theory. In D. M. Gabbay, C. J. Hogger, and J. A. Robinson, editors, Handbook of Logic in Artificial Intelligence and Logic Programming. Oxford University Press, 1993.
Andrew B. Baker. A simple solution to the Yale Shooting problem. In R. Brachman, H. J. Levesque, and R. Reiter, editors, Proceedings of the International Conference on Principles of Knowledge Representation and Reasoning (KR), pages 11–20, Toronto, Kanada, 1989. Morgan Kaufmann.
Wolfgang Bibel. Let’s plan it deductively! Artificial Intelligence, 103(1–2):183–208, 1998.
V. Diekert and G. Rozenberg, editors. The book of traces. World Scientific, Singapore etc., 1995.
Andreas Henschel and Michael Thielscher. The LMW traffic world in the fluent calculus, 1999. http://www.ida.liu.se/ext/etai/lmw/TRAFFIC/001.
Steffen Hölldobler and Josef Schneeberger. A new deductive approach to planning. New Generation Computing, 8:225–244, 1990.
Steffen Hölldobler and Hans-Peter Störr. Complex plans in the fluent calculus. In S. Hölldobler, editor, Intellectics and Computational Logic. Kluwer Academic, 2000.
Steffen Hölldobler and Hans-Peter Störr. Solving the entailment problem in the fluent calculus using binary decision diagrams. In Proceedings of the First International Conference on Computational Logic (CL), 2000. (to appear).
Steffen Hölldobler and Michael Thielscher. Computing change and specificity with equational logic programs. Annals of Mathematics and Artificial Intelligence, 14(1):99–133, 1995.
Ray Reiter. The frame problem in the situation calculus: A simple solution (sometimes) and a completeness result for goal regression. In V. Lifschitz, editor, Artificial Intelligence and Mathematical Theory of Computation, pages 359–380. Academic Press, 1991.
Erik Sandewall. Logic Modelling Workshop. URL: http://www.ida.liu.se/ext/etai/lmw/, 1999.
John C. Shepherdson. SLDNF-resolution with equality. Journal of Automated Reasoning, 8:297–306, 1992.
Michael Thielscher. From Situation Calculus to Fluent Calculus: State update axioms as a solution to the inferential frame problem. Artificial Intelligence, 111(1–2):277–299, 1999.
Michael Thielscher. Modeling actions with ramifications in nondeterministic, concurrent, and continuous domains—and a case study. 2000. URL: http://pikas.inf.tu-dresden.de/~mit/publications/conferences/casestudy.ps.
Michael Thielscher. Representing the knowledge of a robot. In A. Cohn, F. Giunchiglia, and B. Selman, editors, Proceedings of the International Conference on Principles of Knowledge Representation and Reasoning (KR), Breckenridge, CO, April 2000. (To appear).
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Störr, HP., Thielscher, M. (2000). A New Equational Foundation for the Fluent Calculus. In: Lloyd, J., et al. Computational Logic — CL 2000. CL 2000. Lecture Notes in Computer Science(), vol 1861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44957-4_49
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DOI: https://doi.org/10.1007/3-540-44957-4_49
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