Towards an extended taxonomy of information dynamics via Integrated Information Decomposition

التفاصيل البيبلوغرافية
العنوان: Towards an extended taxonomy of information dynamics via Integrated Information Decomposition
المؤلفون: Mediano, Pedro A. M., Rosas, Fernando E., Luppi, Andrea I, Carhart-Harris, Robin L., Bor, Daniel, Seth, Anil K., Barrett, Adam B.
سنة النشر: 2021
المجموعة: Physics (Other)
Quantitative Biology
مصطلحات موضوعية: Quantitative Biology - Neurons and Cognition, Physics - Data Analysis, Statistics and Probability
الوصف: Complex systems, from the human brain to the global economy, are made of multiple elements that interact in such ways that the behaviour of the `whole' often seems to be more than what is readily explainable in terms of the `sum of the parts.' Our ability to understand and control these systems remains limited, one reason being that we still don't know how best to describe -- and quantify -- the higher-order dynamical interactions that characterise their complexity. To address this limitation, we combine principles from the theories of Information Decomposition and Integrated Information into what we call Integrated Information Decomposition, or $\Phi$ID. $\Phi$ID provides a comprehensive framework to reason about, evaluate, and understand the information dynamics of complex multivariate systems. $\Phi$ID reveals the existence of previously unreported modes of collective information flow, providing tools to express well-known measures of information transfer and dynamical complexity as aggregates of these modes. Via computational and empirical examples, we demonstrate that $\Phi$ID extends our explanatory power beyond traditional causal discovery methods -- with profound implications for the study of complex systems across disciplines.
Comment: arXiv admin note: text overlap with arXiv:1909.02297
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2109.13186
رقم الانضمام: edsarx.2109.13186
قاعدة البيانات: arXiv
ResultId 1
Header edsarx
arXiv
edsarx.2109.13186
1022
3
Report
report
1021.65460205078
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2109.13186&custid=s6537998&authtype=sso
FullText Array ( [Availability] => 0 )
Array ( [0] => Array ( [Url] => http://arxiv.org/abs/2109.13186 [Name] => EDS - Arxiv [Category] => fullText [Text] => View record in Arxiv [MouseOverText] => View record in Arxiv ) )
Items Array ( [Name] => Title [Label] => Title [Group] => Ti [Data] => Towards an extended taxonomy of information dynamics via Integrated Information Decomposition )
Array ( [Name] => Author [Label] => Authors [Group] => Au [Data] => <searchLink fieldCode="AR" term="%22Mediano%2C+Pedro+A%2E+M%2E%22">Mediano, Pedro A. M.</searchLink><br /><searchLink fieldCode="AR" term="%22Rosas%2C+Fernando+E%2E%22">Rosas, Fernando E.</searchLink><br /><searchLink fieldCode="AR" term="%22Luppi%2C+Andrea+I%22">Luppi, Andrea I</searchLink><br /><searchLink fieldCode="AR" term="%22Carhart-Harris%2C+Robin+L%2E%22">Carhart-Harris, Robin L.</searchLink><br /><searchLink fieldCode="AR" term="%22Bor%2C+Daniel%22">Bor, Daniel</searchLink><br /><searchLink fieldCode="AR" term="%22Seth%2C+Anil+K%2E%22">Seth, Anil K.</searchLink><br /><searchLink fieldCode="AR" term="%22Barrett%2C+Adam+B%2E%22">Barrett, Adam B.</searchLink> )
Array ( [Name] => DatePubCY [Label] => Publication Year [Group] => Date [Data] => 2021 )
Array ( [Name] => Subset [Label] => Collection [Group] => HoldingsInfo [Data] => Physics (Other)<br />Quantitative Biology )
Array ( [Name] => Subject [Label] => Subject Terms [Group] => Su [Data] => <searchLink fieldCode="DE" term="%22Quantitative+Biology+-+Neurons+and+Cognition%22">Quantitative Biology - Neurons and Cognition</searchLink><br /><searchLink fieldCode="DE" term="%22Physics+-+Data+Analysis%2C+Statistics+and+Probability%22">Physics - Data Analysis, Statistics and Probability</searchLink> )
Array ( [Name] => Abstract [Label] => Description [Group] => Ab [Data] => Complex systems, from the human brain to the global economy, are made of multiple elements that interact in such ways that the behaviour of the `whole' often seems to be more than what is readily explainable in terms of the `sum of the parts.' Our ability to understand and control these systems remains limited, one reason being that we still don't know how best to describe -- and quantify -- the higher-order dynamical interactions that characterise their complexity. To address this limitation, we combine principles from the theories of Information Decomposition and Integrated Information into what we call Integrated Information Decomposition, or $\Phi$ID. $\Phi$ID provides a comprehensive framework to reason about, evaluate, and understand the information dynamics of complex multivariate systems. $\Phi$ID reveals the existence of previously unreported modes of collective information flow, providing tools to express well-known measures of information transfer and dynamical complexity as aggregates of these modes. Via computational and empirical examples, we demonstrate that $\Phi$ID extends our explanatory power beyond traditional causal discovery methods -- with profound implications for the study of complex systems across disciplines.<br />Comment: arXiv admin note: text overlap with arXiv:1909.02297 )
Array ( [Name] => TypeDocument [Label] => Document Type [Group] => TypDoc [Data] => Working Paper )
Array ( [Name] => URL [Label] => Access URL [Group] => URL [Data] => <link linkTarget="URL" linkTerm="http://arxiv.org/abs/2109.13186" linkWindow="_blank">http://arxiv.org/abs/2109.13186</link> )
Array ( [Name] => AN [Label] => Accession Number [Group] => ID [Data] => edsarx.2109.13186 )
RecordInfo Array ( [BibEntity] => Array ( [Subjects] => Array ( [0] => Array ( [SubjectFull] => Quantitative Biology - Neurons and Cognition [Type] => general ) [1] => Array ( [SubjectFull] => Physics - Data Analysis, Statistics and Probability [Type] => general ) ) [Titles] => Array ( [0] => Array ( [TitleFull] => Towards an extended taxonomy of information dynamics via Integrated Information Decomposition [Type] => main ) ) ) [BibRelationships] => Array ( [HasContributorRelationships] => Array ( [0] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Mediano, Pedro A. M. ) ) ) [1] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Rosas, Fernando E. ) ) ) [2] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Luppi, Andrea I ) ) ) [3] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Carhart-Harris, Robin L. ) ) ) [4] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Bor, Daniel ) ) ) [5] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Seth, Anil K. ) ) ) [6] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Barrett, Adam B. ) ) ) ) [IsPartOfRelationships] => Array ( [0] => Array ( [BibEntity] => Array ( [Dates] => Array ( [0] => Array ( [D] => 27 [M] => 09 [Type] => published [Y] => 2021 ) ) ) ) ) ) )
IllustrationInfo