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A weakness measure for GR(1) formulae

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Title: A weakness measure for GR(1) formulae
Authors: Cavezza, D
Alrajeh, D
Gyorgy, A
Item Type: Conference Paper
Abstract: In spite of the theoretical and algorithmic developments for system synthesis in recent years, little effort has been dedicated to quantifying the quality of the specifications used for synthesis. When dealing with unrealizable specifications, finding the weakest environment assumptions that would ensure realizability is typically a desirable property; in such context the weakness of the assumptions is a major quality parameter. The question of whether one assumption is weaker than another is commonly interpreted using implication or, equivalently, language inclusion. However, this interpretation does not provide any further insight into the weakness of assumptions when implication does not hold. To our knowledge, the only measure that is capable of comparing two formulae in this case is entropy, but even it fails to provide a sufficiently refined notion of weakness in case of GR(1) formulae, a subset of linear temporal logic formulae which is of particular interest in controller synthesis. In this paper we propose a more refined measure of weakness based on the Hausdorff dimension, a concept that captures the notion of size of the omega-language satisfying a linear temporal logic formula. We identify the conditions under which this measure is guaranteed to distinguish between weaker and stronger GR(1) formulae. We evaluate our proposed weakness measure in the context of computing GR(1) assumptions refinements.
Issue Date: 12-Jul-2018
Date of Acceptance: 9-Apr-2018
URI: http://hdl.handle.net/10044/1/59011
DOI: 10.1007/978-3-319-95582-7_7
ISSN: 0302-9743
Publisher: Springer Verlag
Start Page: 110
End Page: 128
Journal / Book Title: Lecture Notes in Computer Science
Volume: 10951
Copyright Statement: © 2018 Springer International Publishing AG, part of Springer Nature. The final authenticated version is available online at https://doi.org/10.1007/978-3-319-95582-7_7
Conference Name: 22nd International Symposium on Formal Methods
Keywords: Science & Technology
Technology
Computer Science, Software Engineering
Computer Science, Theory & Methods
Computer Science
ASSUMPTIONS
Artificial Intelligence & Image Processing
Publication Status: Published
Start Date: 2018-07-15
Finish Date: 2018-07-17
Conference Place: Oxford, UK
Online Publication Date: 2018-07-12
Appears in Collections:Computing
Electrical and Electronic Engineering
Faculty of Engineering