Inference of ω-languages from prefixes
نویسندگان
چکیده
منابع مشابه
Inference of ω-Languages from Prefixes
Büchi automata are used to recognize languages of infinite words. Such languages have been introduced to describe the behavior of real time systems or infinite games. The question of inferring them from infinite examples has already been studied, but it may seem more reasonable to believe that the data from which we want to learn is a set of finite words, namely the prefixes of accepted or reje...
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In formal language theory, we are mainly interested in the natural language computational aspects of ω-languages. Therefore in this respect it is convenient to consider fuzzy ω-languages. In this paper, we introduce two subclasses of fuzzy regular ω-languages called fuzzy n-local ω-languages and Buchi fuzzy n-local ω-languages, and give some closure properties for those subclasses. We define a ...
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De la Higuera and Janodet (2001) gave a polynomial algorithm that identifies the class of safe ω-languages which is a subclass of deterministic ω-languages from positive and negative prefixes. As an extension of this work we study the learning of the family of bi-ω languages.
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Recent literature extended the analysis of ω-languages from the regular ones to various classes of languages with “visible syntax structure”, such as visibly pushdown languages (VPLs). Operator precedence languages (OPLs), instead, were originally defined to support deterministic parsing and exhibit interesting relations with these classes of languages: OPLs strictly include VPLs, enjoy all rel...
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Infinite games are studied in a format where two players, called Player 1 and Player 2, generate a play by building up an ω-word as they choose letters in turn. A game is specified by the ω-language which contains the plays won by Player 2. We analyze ω-languages generated from certain classes K of regular languages of finite words (called ∗-languages), using natural transformations of ∗-langua...
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ژورنال
عنوان ژورنال: Theoretical Computer Science
سال: 2004
ISSN: 0304-3975
DOI: 10.1016/j.tcs.2003.11.009