Abstract
We show how to use duality theory to construct minimized versions of a wide class of automata. We work out three cases in detail: (a variant of) ordinary automata, weighted automata and probabilistic automata. The basic idea is that instead of constructing a maximal quotient we go to the dual and look for a minimal subalgebra and then return to the original category. Duality ensures that the minimal subobject becomes the maximally quotiented object.
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References
Adámek, J., Bonchi, F., Hülsbusch, M., König, B., Milius, S., Silva, A.: A Coalgebraic Perspective on Minimization and Determinization. In: Birkedal, L. (ed.) FOSSACS 2012. LNCS, vol. 7213, pp. 58–73. Springer, Heidelberg (2012)
Adamek, J., Herrlich, H., Strecker, G.E.: Abstract and Concrete Categories: The Joy of Cats. Dover (1990)
Arbib, M., Manes, E.: Adjoint machines, state behavior machines and duality. J. Pure Appl. Algebra 6, 313–343 (1975)
Beimel, A., Bergadano, F., Bshouty, N.H., Kushelevitz, E., Varricchio, S.: Learning functions represented as multiplicity automata. Journal of the ACM 47(5), 506–530 (2000)
Bonchi, F., Bonsangue, M., Boreale, M., Rutten, J., Silva, A.: A coalgebraic perspective on linear weighted automata. Information and Computation 211, 77–105 (2012)
Bonchi, F., Bonsangue, M.M., Rutten, J.J.M.M., Silva, A.: Brzozowski’s Algorithm (Co)Algebraically. In: Constable, R.L., Silva, A. (eds.) Logic and Program Semantics, Kozen Festschrift. LNCS, vol. 7230, pp. 12–23. Springer, Heidelberg (2012)
Brzozowski, J.A.: Canonical regular expressions and minimal state graphs for definite events. In: Fox, J. (ed.) Proceedings of the Symposium on Mathematical Theory of Automata. MRI Symposia Series, vol. 12, pp. 529–561. Polytechnic Press of the Polytechnic Institute of Brooklyn (April 1962); book appeared in 1963
Givant, S., Halmos, P.: Introduction to Boolean Algebras. Undergraduate Texts in Mathematics. Springer (2009)
Hundt, C., Panangaden, P., Pineau, J., Precup, D.: Representing systems with hidden state. In: The Twenty-First National Conference on Artificial Intelligence, AAAI (2006)
Johnstone, P.: Stone Spaces. Cambridge Studies in Advanced Mathematics, vol. 3. Cambridge University Press (1982)
Kaelbling, L.P., Littman, M.L., Cassandra, A.R.: Planning and acting in partially observable stochastic domains. Artificial Intelligence 101 (1998)
Kiefer, S.: Minimization of weighted automata (2011) (unpublished private communication)
Mislove, M., Ouaknine, J., Pavlovic, D., Worrell, J.B.: Duality for Labelled Markov Processes. In: Walukiewicz, I. (ed.) FOSSACS 2004. LNCS, vol. 2987, pp. 393–407. Springer, Heidelberg (2004)
Negrepontis, J.W.: Duality in analysis from the point of view of triples. Journal of Algebra 19, 228–253 (1971)
Panangaden, P.: Labelled Markov Processes. Imperial College Press (2009)
Smallwood, R.D., Sondik, E.J.: The optimal control of partially observable Markov decision processes over a finite horizon. Operations Research 21(5), 1071–1088 (1973)
Sondik, E.J.: The optimal control of partially observable Markov processes. Ph.D. thesis, Stanford University (1971)
Stone, M.H.: A general theory of spectra I. Proc. Nat. Acad. Sci. USA 26, 280–283 (1940)
Stone, M.H.: A general theory of spectra II. Proc. Nat. Acad. Sci. USA 27, 83–87 (1941)
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Bezhanishvili, N., Kupke, C., Panangaden, P. (2012). Minimization via Duality. In: Ong, L., de Queiroz, R. (eds) Logic, Language, Information and Computation. WoLLIC 2012. Lecture Notes in Computer Science, vol 7456. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32621-9_14
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DOI: https://doi.org/10.1007/978-3-642-32621-9_14
Publisher Name: Springer, Berlin, Heidelberg
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