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Challenges for Quantitative Analysis of Collective Adaptive Systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationTrustworthy Global Computing
Subtitle of host publication8th International Symposium, TGC 2013, Buenos Aires, Argentina, August 30-31, 2013, Revised Selected Papers
EditorsMartín Abadi, Alberto Lluch Lafuente
PublisherSpringer International Publishing
Pages14-21
Number of pages8
ISBN (Electronic)978-3-319-05119-2
ISBN (Print)978-3-319-05118-5
DOIs
Publication statusPublished - 2014

Publication series

NameLecture Notes in Computer Science
PublisherSpringer International Publishing

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.

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