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dc.contributor.author
Mann, Richard P.
dc.contributor.author
Garnett, Roman
dc.date.accessioned
2018-10-31T15:28:31Z
dc.date.available
2017-06-11T17:01:54Z
dc.date.available
2017-07-05T13:36:39Z
dc.date.available
2017-11-02T10:59:56Z
dc.date.available
2018-10-31T15:28:31Z
dc.date.issued
2015-05-06
dc.identifier.other
10.1098/rsif.2015.0037
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/100106
dc.identifier.doi
10.3929/ethz-a-010418362
dc.description.abstract
We identify a unique viewpoint on the collective behaviour of intelligent agents. We first develop a highly general abstract model for the possible future lives these agents may encounter as a result of their decisions. In the context of these possibilities, we show that the causal entropic principle, whereby agents follow behavioural rules that maximize their entropy over all paths through the future, predicts many of the observed features of social interactions among both human and animal groups. Our results indicate that agents are often able to maximize their future path entropy by remaining cohesive as a group and that this cohesion leads to collectively intelligent outcomes that depend strongly on the distribution of the number of possible future paths. We derive social interaction rules that are consistent with maximum entropy group behaviour for both discrete and continuous decision spaces. Our analysis further predicts that social interactions are likely to be fundamentally based on Weber's law of response to proportional stimuli, supporting many studies that find a neurological basis for this stimulus–response mechanism and providing a novel basis for the common assumption of linearly additive ‘social forces’ in simulation studies of collective behaviour.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Royal Society
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
MAXIMUM ENTROPY METHOD (MATHEMATICAL STATISTICS)
en_US
dc.subject
MASS BEHAVIOUR (SOCIOLOGY)
en_US
dc.subject
Maximum entropy
en_US
dc.subject
MASSENVERHALTEN (SOZIOLOGIE)
en_US
dc.subject
Entropic forces
en_US
dc.subject
Weber's law
en_US
dc.subject
MAXIMUM-ENTROPIE-METHODE (MATHEMATISCHE STATISTIK)
en_US
dc.subject
Galton-Watson process
en_US
dc.subject
Collective behaviour
en_US
dc.subject
Causal entropic principle
en_US
dc.title
The entropic basis of collective behaviour
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2015-04-01
ethz.journal.title
Journal of The Royal Society Interface
ethz.journal.volume
12
en_US
ethz.journal.issue
106
en_US
ethz.journal.abbreviated
J. R. Soc. Interface
ethz.pages.start
20150037
en_US
ethz.size
8 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.code.ddc
0 - Computer science, information & general works::000 - Generalities, science
en_US
ethz.identifier.wos
ethz.identifier.nebis
004815764
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.::03784 - Helbing, Dirk / Helbing, Dirk
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.::03784 - Helbing, Dirk / Helbing, Dirk
ethz.relation.isReferencedBy
10.1098/rsif.2016.0143
ethz.date.deposited
2017-06-11T17:02:46Z
ethz.source
ECOL
ethz.source
ECIT
ethz.identifier.importid
imp59366b755283c30971
ethz.identifier.importid
imp5936531a6a51274621
ethz.ecolpid
eth:47651
ethz.ecitpid
pub:156847
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-05T13:37:02Z
ethz.rosetta.lastUpdated
2018-10-31T15:29:18Z
ethz.rosetta.exportRequired
false
ethz.rosetta.versionExported
true
ethz.COinS
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