Mathematical support for ensemble engineering

Michael Johnson

doi:10.1007/978-3-540-89437-7_12

Mathematical support for ensemble engineering

Michael Johnson^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

We study some of the mathematical challenges presented by the need to support ensemble engineering, concentrating on likely contributions from category theory and universal algebra. Particular attention is paid to dealing with missing data, modelling dynamics and interaction, and analysing inconsistencies.

Original language	English
Title of host publication	Software-intensive systems and new computing paradigms
Subtitle of host publication	challenges and visions
Editors	Martin Wirsing, Jean-Pierre Banâtre, Matthias Hölzl, Axel Rauschmayer
Place of Publication	Berlin
Publisher	Springer, Springer Nature
Pages	179-189
Number of pages	11
ISBN (Print)	3540894365, 9783540894360
DOIs	https://doi.org/10.1007/978-3-540-89437-7_12
Publication status	Published - 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5380 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Keywords

Category theory
Ensemble engineering
Inconsistency analysis
Universal algebra

Access to Document

10.1007/978-3-540-89437-7_12

Cite this

Johnson, M. (2008). Mathematical support for ensemble engineering. In M. Wirsing, J.-P. Banâtre, M. Hölzl, & A. Rauschmayer (Eds.), Software-intensive systems and new computing paradigms: challenges and visions (pp. 179-189). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5380 LNCS). Springer, Springer Nature. https://doi.org/10.1007/978-3-540-89437-7_12

Johnson, Michael. / Mathematical support for ensemble engineering. Software-intensive systems and new computing paradigms: challenges and visions. editor / Martin Wirsing ; Jean-Pierre Banâtre ; Matthias Hölzl ; Axel Rauschmayer. Berlin : Springer, Springer Nature, 2008. pp. 179-189 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Mathematical support for ensemble engineering",

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author = "Michael Johnson",

year = "2008",

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publisher = "Springer, Springer Nature",

pages = "179--189",

editor = "Martin Wirsing and Jean-Pierre Ban{\^a}tre and Matthias H{\"o}lzl and Axel Rauschmayer",

booktitle = "Software-intensive systems and new computing paradigms",

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Johnson, M 2008, Mathematical support for ensemble engineering. in M Wirsing, J-P Banâtre, M Hölzl & A Rauschmayer (eds), Software-intensive systems and new computing paradigms: challenges and visions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5380 LNCS, Springer, Springer Nature, Berlin, pp. 179-189. https://doi.org/10.1007/978-3-540-89437-7_12

Mathematical support for ensemble engineering. / Johnson, Michael.
Software-intensive systems and new computing paradigms: challenges and visions. ed. / Martin Wirsing; Jean-Pierre Banâtre; Matthias Hölzl; Axel Rauschmayer. Berlin: Springer, Springer Nature, 2008. p. 179-189 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5380 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AB - We study some of the mathematical challenges presented by the need to support ensemble engineering, concentrating on likely contributions from category theory and universal algebra. Particular attention is paid to dealing with missing data, modelling dynamics and interaction, and analysing inconsistencies.

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KW - Inconsistency analysis

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M3 - Conference proceeding contribution

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SN - 9783540894360

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Software-intensive systems and new computing paradigms

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Johnson M. Mathematical support for ensemble engineering. In Wirsing M, Banâtre JP, Hölzl M, Rauschmayer A, editors, Software-intensive systems and new computing paradigms: challenges and visions. Berlin: Springer, Springer Nature. 2008. p. 179-189. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-89437-7_12

Mathematical support for ensemble engineering

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Keywords

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