Measuring information dynamics in swarms

Jennifer M. Miller*, X. Rosalind Wang, Joseph T. Lizier, Mikhail Prokopenko, Louis F. Rossi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We propose a novel, information theoretic characterization of dynamics within swarms, through explicitly measuring the extent of collective communications and tracing collectivememory. These elements of distributed computation provide complementary views into the capacity for swarm coherence and reorganization. The approach deals with both global and local information dynamics ultimately discovering diverse ways in which an individual’s location within the group is related to its information processing role.
Original languageEnglish
Title of host publicationGuided self-organization
Subtitle of host publicationinception
EditorsMikhail Prokopenko
Place of PublicationBerlin; Heidelberg
PublisherSpringer, Springer Nature
Pages343-364
Number of pages22
ISBN (Print)9783642537332
DOIs
Publication statusPublished - 2014

Publication series

NameEmergence Complexity and Computation
PublisherSPRINGER-VERLAG BERLIN
Volume9
ISSN (Print)2194-7287

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