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

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    Abstract

    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.
    Original languageEnglish
    Title of host publicationProcs of 2011 IEEE Symposium on Artificial Life (ALIFE)
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages70-77
    Number of pages8
    Edition1st
    ISBN (Print)978-1-61284-062-8
    DOIs
    Publication statusPublished - 2011
    EventALIFE 2011 - Paris, France
    Duration: 11 Apr 201115 Apr 2011

    Publication series

    NameSymposium Series on Computational Intelligence
    PublisherIEEE

    Conference

    ConferenceALIFE 2011
    Country/TerritoryFrance
    CityParis
    Period11/04/1115/04/11

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