Performance Analysis of Collective Adaptive Behaviour in Time and Space | Zendy

Cheng Feng | Zendy; Marco Gribaudo | Zendy; Jane Hillston | Zendy

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Performance Analysis of Collective Adaptive Behaviour in Time and Space

Author(s) -

Cheng Feng,

Marco Gribaudo,

Jane Hillston

Publication year - 2015

Publication title -

electronic notes in theoretical computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.242

H-Index - 60

ISSN - 1571-0661

DOI - 10.1016/j.entcs.2015.10.019

Subject(s) - swarming (honey bee) , computer science , swarm robotics , collective behavior , swarm behaviour , distributed computing , simple (philosophy) , robot , natural (archaeology) , complex adaptive system , data science , artificial intelligence , ecology , geography , sociology , philosophy , archaeology , epistemology , anthropology , biology

Many systems, both natural and engineered, exhibit collective adaptive behaviour. Natural examples are swarming animals and insects, and man-made examples include swarm robots and sensor networks. Indeed many systems have both human and ICT-based agents in play, distributed over some geographical region: an informatics environment as defined by Milner. Over recent years there has been increased interest in modelling these systems in order to understand their dynamic behaviour. Here we consider the subsequent issue of how to define useful performance measures for such systems, based on consideration of a simple, intuitive example

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