Challenges for Quantitative Analysis of Collective Adaptive Systems

Jane Hillston

doi:10.1007/978-3-319-05119-2_2

Challenges for Quantitative Analysis of Collective Adaptive Systems

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

Abstract

We are surrounded by both natural and engineered collective systems. Such systems include many entities, which interact locally and, without necessarily having any global knowledge, nevertheless work together to create a system with discernible characteristics at the global level; a phenomenon sometimes termed emergence. Examples include swarms of bees, flocks of birds, spread of disease through a population, traffic jams and robot swarms. Many of these systems are also adaptive in the sense that the constituent entities can respond to their perception of the current state of the system at large, changing their behaviour accordingly.

Original language	English
Title of host publication	Trustworthy Global Computing
Subtitle of host publication	8th International Symposium, TGC 2013, Buenos Aires, Argentina, August 30-31, 2013, Revised Selected Papers
Editors	Martín Abadi, Alberto Lluch Lafuente
Publisher	Springer
Pages	14-21
Number of pages	8
ISBN (Electronic)	978-3-319-05119-2
ISBN (Print)	978-3-319-05118-5
DOIs	https://doi.org/10.1007/978-3-319-05119-2_2
Publication status	Published - 2014

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer International Publishing

Access to Document

10.1007/978-3-319-05119-2_2

Hillston 2014 Challenges for Quantitative Analysis of Collective Adaptive SystemsSubmitted manuscript, 184 KB

http://link.springer.com/chapter/10.1007%2F978-3-319-05119-2_2#

QUANTICOL - A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours (RTD)
Hillston, J. (Principal Investigator) & Gilmore, S. (Co-investigator)
EU government bodies
1/04/13 → 31/03/17
Project: Research

Cite this

Hillston, J. (2014). Challenges for Quantitative Analysis of Collective Adaptive Systems. In M. Abadi, & A. Lluch Lafuente (Eds.), Trustworthy Global Computing: 8th International Symposium, TGC 2013, Buenos Aires, Argentina, August 30-31, 2013, Revised Selected Papers (pp. 14-21). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-319-05119-2_2

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Challenges for Quantitative Analysis of Collective Adaptive Systems. / Hillston, Jane.
Trustworthy Global Computing: 8th International Symposium, TGC 2013, Buenos Aires, Argentina, August 30-31, 2013, Revised Selected Papers. ed. / Martín Abadi; Alberto Lluch Lafuente. Springer, 2014. p. 14-21 (Lecture Notes in Computer Science).

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

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A2 - Abadi, Martín

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Challenges for Quantitative Analysis of Collective Adaptive Systems

Abstract

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Projects

QUANTICOL - A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours (RTD)

Cite this