Conference paper

Context-dependent nondeterminism for pushdown automata


Authors listKutrib, Martin; Malcher, Andreas

Publication year2007

Pages101-111

JournalTheoretical Computer Science

Volume number376

Issue number1-2

ISSN0304-3975

Open access statusBronze

DOI Linkhttps://doi.org/10.1016/j.tcs.2007.01.015

Conference10th International Conference on Developments in Language Theory

PublisherElsevier


Abstract
Pushdown automata using a limited and unlimited amount of nondeterminism, are investigated. Moreover, nondeterministic steps are allowed only within certain contexts, i.e., in configurations that meet particular conditions. The relationships of the accepted language families with closures of the deterministic context-free languages (DCFL) under regular operations are studied. For example, automata with unbounded nondeterminism, that have to empty their pushdown store up to the initial symbol in order to make a guess are characterized by the regular closure of DCFL. Automata that additionally have to reenter the initial state are (almost) characterized by the Kleene star closure of the union closure of the prefix-free deterministic context-free languages. Pushdown automata with bounded nondeterminism are characterized by the union closure of DCFL in any of the considered contexts. Proper inclusions between all language classes discussed are shown. Finally, closure properties of these families under AFL operations are investigated. (C) 2007 Elsevier B.V. All rights reserved.



Citation Styles

Harvard Citation styleKutrib, M. and Malcher, A. (2007) Context-dependent nondeterminism for pushdown automata, Theoretical Computer Science, 376(1-2), pp. 101-111. https://doi.org/10.1016/j.tcs.2007.01.015

APA Citation styleKutrib, M., & Malcher, A. (2007). Context-dependent nondeterminism for pushdown automata. Theoretical Computer Science. 376(1-2), 101-111. https://doi.org/10.1016/j.tcs.2007.01.015



Keywords


closures of languagesComputational Capacitycontext-free languagesDeterministic pushdown automataFINITE AUTOMATALANGUAGEStime-efficient recognizers

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