University of Hertfordshire

By the same authors

Think globally, sense locally: From local information to global features

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


  • 904554

    Submitted manuscript, 306 KB, PDF document

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Original languageEnglish
Title of host publicationProcs of 2011 IEEE Symposium on Artificial Life (ALIFE)
Number of pages8
ISBN (Print)978-1-61284-062-8
Publication statusPublished - 2011
EventALIFE 2011 - Paris, France
Duration: 11 Apr 201115 Apr 2011

Publication series

NameSymposium Series on Computational Intelligence


ConferenceALIFE 2011


Shannon's information theory can be used to quantify morphological and topological features of a collective of agents in an arbitrary environment. In particular the ability of individual agents to extract information locally about global features of the collective can be quantified. Here, we considered chains of agents in a grid world. The agents are equipped with local sensors. We then quantified the amount of information the sensors contain about certain features global to the chain. Furthermore, we compared the amount of locally available information to the amount of information the whole collective could in principle acquire about a feature in different contexts.


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