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AuthorGottwald, Sebastiandc.contributor.author
AuthorBraun, Daniel A.dc.contributor.author
Date of accession2019-03-07T14:43:51Zdc.date.accessioned
Available in OPARU since2019-03-07T14:43:51Zdc.date.available
Date of first publication2019-01-18dc.date.issued
AbstractSpecialization and hierarchical organization are important features of efficient collaboration in economical, artificial, and biological systems. Here, we investigate the hypothesis that both features can be explained by the fact that each entity of such a system is limited in a certain way. We propose an information-theoretic approach based on a free energy principle in order to computationally analyze systems of bounded ra- tional agents that deal with such limitations optimally. We find that specialization allows a focus on fewer tasks, thus leading to a more effi- cient execution, but in turn, it requires coordination in hierarchical struc- tures of specialized experts and coordinating units. Our results suggest that hierarchical architectures of specialized units at lower levels that are coordinated by units at higher levels are optimal, given that each unit’s information-processing capability is limited and conforms to constraints on complexity costs.dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
LicenseCC BY 4.0 Internationaldc.rights
Link to license texthttp://creativecommons.org/licenses/by/4.0/dc.rights.uri
KeywordBounded rationalitydc.subject
KeywordFree energy principledc.subject
Dewey Decimal GroupDDC 000 / Computer science, information & general worksdc.subject.ddc
LCSHMultiagent systemsdc.subject.lcsh
LCSHHierarchiesdc.subject.lcsh
LCSHSpecializationdc.subject.lcsh
TitleSystems of bounded rational agents with information-theoretic constraintsdc.title
Resource typeWissenschaftlicher Artikeldc.type
VersionpublishedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-12107dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-12164-7dc.identifier.urn
GNDEingeschränkte Rationalitätdc.subject.gnd
GNDHierarchiedc.subject.gnd
GNDSpezialisierungdc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Neuroinformatikuulm.affiliationSpecific
Peer reviewjauulm.peerReview
DCMI TypeTextuulm.typeDCMI
CategoryPublikationenuulm.category
DOI of original publication10.1162/neco_a_01153dc.relation1.doi
Source - Title of sourceNeural Computationsource.title
Source - Place of publicationMassachusetts Institute of Technology Presssource.publisher
Source - Volume31source.volume
Source - Issue2source.issue
Source - Year2019source.year
Source - From page440source.fromPage
Source - To page476source.toPage
Source - ISSN0899-7667source.identifier.issn
Source - eISSN1530-888Xsource.identifier.eissn
EU projectBRISC / Bounded Rationality in Sensorimotor Coordination / EC / H2020 / 678082uulm.projectEU
University Bibliographyjauulm.unibibliographie


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CC BY 4.0 International
Except where otherwise noted, this item's license is described as CC BY 4.0 International