van Heerdt, G;
Jacobs, B;
Kappé, T;
Silva, A;
(2018)
Learning to Coordinate.
In: de Boer, F and Bonsangue, M and Rutten, J, (eds.)
It's All About Coordination: Essays to Celebrate the Lifelong Scientific Achievements of Farhad Arbab.
(pp. 139-159).
Springer: Cham, Switzerland.
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Abstract
Reo is a visual language of connectors that originated in component-based software engineering. It is a flexible and intuitive language, yet powerful and capable of expressing complex patterns of composition. The intricacies of the language resulted in many semantic models proposed for Reo, including several automata-based ones. In this paper, we show how to generalize a known active automata learning algorithm—Angluin’s L*—to Reo automata. We use recent categorical insights on Angluin’s original algorithm to devise this generalization, which turns out to require a change of base category.
Type: | Book chapter |
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Title: | Learning to Coordinate |
ISBN-13: | 978-3-319-90089-6 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/978-3-319-90089-6_10 |
Publisher version: | https://doi.org/10.1007/978-3-319-90089-6_10 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10063413 |
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