Expressiveness and Closure Properties for Quantitative Languages
Krishnendu Chatterjee, Laurent Doyen, Thomas A. Henzinger

TL;DR
This paper investigates the expressiveness and closure properties of weighted automata defining quantitative languages, revealing non-regular thresholds, robustness under perturbations, and closure under certain operations.
Contribution
It provides new insights into the regularity and robustness of quantitative languages and compares the expressiveness of automata with binary weights to general weighted automata.
Findings
Threshold sets can be non-regular for certain automata.
Threshold sets are regular when thresholds are isolated and robust.
Automata with weights 0/1 are as expressive as general automata in limit-average case.
Abstract
Weighted automata are nondeterministic automata with numerical weights on transitions. They can define quantitative languages that assign to each word a real number . In the case of infinite words, the value of a run is naturally computed as the maximum, limsup, liminf, limit average, or discounted sum of the transition weights. We study expressiveness and closure questions about these quantitative languages. We first show that the set of words with value greater than a threshold can be non--regular for deterministic limit-average and discounted-sum automata, while this set is always -regular when the threshold is isolated (i.e., some neighborhood around the threshold contains no word). In the latter case, we prove that the -regular language is robust against small perturbations of the transition weights. We next consider automata with…
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Taxonomy
Topicssemigroups and automata theory · Formal Methods in Verification · Natural Language Processing Techniques
