In this work, we define a framework of automata constructions based on quasiorders over words to provide new insights on the class of residual automata. We present a new residualization operation and a generalized double-reversal method for building the canonical residual automaton for a given language. Finally, we use our framework to offer a quasiorder-based perspective on NL^*, an online learning algorithm for residual automata. We conclude that quasiorders are fundamental to residual automata as congruences are to deterministic automata.
@InProceedings{ganty_et_al:LIPIcs.MFCS.2020.40, author = {Ganty, Pierre and Guti\'{e}rrez, Elena and Valero, Pedro}, title = {{A Quasiorder-Based Perspective on Residual Automata}}, booktitle = {45th International Symposium on Mathematical Foundations of Computer Science (MFCS 2020)}, pages = {40:1--40:14}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-159-7}, ISSN = {1868-8969}, year = {2020}, volume = {170}, editor = {Esparza, Javier and Kr\'{a}l', Daniel}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2020.40}, URN = {urn:nbn:de:0030-drops-127071}, doi = {10.4230/LIPIcs.MFCS.2020.40}, annote = {Keywords: Residual Automata, Quasiorders, Double-Reversal Method, Canonical RFA, Regular Languages} }
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