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CARBS SIGNED

Compositional Approximate Reasoning via Bialgebraic Semantics

Total Cost €

EC-Contrib. €

Partnership

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CARBS project word cloud

Explore the words cloud of the CARBS project. It provides you a very rough idea of what is the project "CARBS" about.

abundance throughput variety bialgebraic quantitative motivating behavioural approximate perform congestion programming categorical mathematical network compositional formalising extensively probabilistic move analysing science models chance algebra tools techniques integrating framework semantics model combination proposes apart of languages points randomized programs inference describing instance coalgebra quantiative metrics protocols equivalence deal computer extension immediately applicability language manner calculi envisaged reasoning systematic whereas compositionality probnetkat fundamental proof insights carbs coalgebras integrates networks

Project "CARBS" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITY COLLEGE LONDON Organization address address: GOWER STREET city: LONDON postcode: WC1E 6BT website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	United Kingdom [UK]
Total cost	91˙727 €
EC max contribution	91˙727 € (100%)
Programme	1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
Code Call	H2020-MSCA-IF-2017
Funding Scheme	MSCA-IF-EF-ST
Starting year	2019
Duration (year-month-day)	from 2019-02-01 to 2020-01-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITY COLLEGE LONDON UNIVERSITY COLLEGE LONDON Organization address address: GOWER STREET city: LONDON postcode: WC1E 6BT website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (LONDON)	coordinator	91˙727.00

Map

Project objective

Programming languages with probabilistic features are used extensively in computer science and beyond, to model uncertainty, perform quantitative analysis, inference and much more. To analyse programs in such languages, it is essential to have effective tools and techniques for approximate reasoning: for instance, determining the chance of congestion in a network, or the chance of failure of a system component. CARBS proposes a general mathematical framework of compositional proof techniques for approximate reasoning, with two essential points of focus: general applicability, to deal with the wide variety of different quantitative languages and models, and compositionality, to deal with large-scale systems. A motivating case study and application for the developed proof techniques is ProbNetKAT, a probabilistic language for describing randomized protocols and analysing quantitative properties in networks such as throughput or chance of failure. Approximate reasoning about such network programs is an important but also challenging problem, and the abundance of possible case studies will allow to immediately evaluate and apply the developed proof techniques. Approximate reasoning requires to move from behavioural equivalence to behavioural metrics, formalising how far apart two programs are. CARBS is based on integrating behavioural metrics in bialgebraic semantics, a categorical approach for a systematic study of languages and calculi based on the combination of algebra and coalgebra. Coalgebra allows to define behavioural metrics, in a general manner, whereas algebra integrates compositionality in the associated proof techniques. The overall envisaged result of CARBS is an extension of bialgebraic semantics to quantitative systems, providing on the one hand fundamental insights about quantiative coalgebras and compositionality, and on the other hand concrete, effective proof techniques for approximate reasoning.

Publications

List of publications.
year	authors and title	journal	last update
2019	Tobias KappÃ©, Paul Brunet, Jurriaan Rot, Alexandra Silva, Jana Wagemaker, Fabio Zanasi Kleene Algebra with Observations published pages: 41:1--41:16, ISSN: , DOI: 10.4230/lipics.concur.2019.41	30th International Conference on Concurrency Theory, CONCUR 2019, August 27-30, 2019, Amsterdam, the Netherlands 140	2020-02-13
2020	Clemens Kupke, Jurriaan Rot Expressive Logics for Coinductive Predicates published pages: 26:1--26:18, ISSN: , DOI: 10.4230/lipics.csl.2020.26	28th EACSL Annual Conference on Computer Science Logic (CSL 2020) 152	2020-02-13
2019	van Heerdt, Gerco; KappÃ©, Tobias; Rot, Jurriaan; Sammartino, Matteo; Silva, Alexandra Tree Automata as Algebras: Minimisation and Determinisation published pages: 6:1--6:22, ISSN: , DOI: 10.4230/LIPIcs.CALCO.2019.6	8th Conference on Algebra and Coalgebra in Computer Science, CALCO 2019, June 3-6, 2019, London, United Kingdom 139	2020-02-13
2020	Gerco van Heerdt, Clemens Kupke, Jurriaan Rot, Alexandra Silva Learning Weighted Automata over Principal Ideal Domains published pages: , ISSN: , DOI:	Accepted for publication in proceedings FoSSaCS 2020 (to appear)	2020-02-13
2020	Moerman, Joshua; Rot, Jurriaan Separation and Renaming in Nominal Sets published pages: 31:1--31:17, ISSN: , DOI: 10.4230/lipics.csl.2020.31	28th EACSL Annual Conference on Computer Science Logic (CSL 2020) 152	2020-02-13

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