Disentangling high-order mechanisms and high-order behaviours in complex systems

被引:0
|
作者
Fernando E. Rosas
Pedro A. M. Mediano
Andrea I. Luppi
Thomas F. Varley
Joseph T. Lizier
Sebastiano Stramaglia
Henrik J. Jensen
Daniele Marinazzo
机构
[1] Imperial College London,Data Science Institute
[2] Imperial College London,Centre for Psychedelic Research
[3] Imperial College London,Centre for Complexity Science
[4] University of Sussex,Department of Informatics
[5] University of Cambridge,Department of Psychology
[6] Queen Mary University of London,Department of Psychology
[7] University Division of Anaesthesia,Department of Clinical Neurosciences
[8] University of Cambridge,Leverhulme Centre for the Future of Intelligence
[9] University of Cambridge,Department of Psychological & Brain Sciences
[10] University of Cambridge,School of Informatics, Computing, and Engineering
[11] The Alan Turing Institute,Centre for Complex Systems and Faculty of Engineering
[12] Indiana University,Dipartimento Interateneo di Fisica
[13] Indiana University,Department of Mathematics
[14] The University of Sydney,Institute of Innovative Research
[15] Università degli Studi di Bari Aldo Moro,Department of Data Analysis
[16] INFN,undefined
[17] Sezione di Bari,undefined
[18] Imperial College London,undefined
[19] Tokyo Institute of Technology,undefined
[20] Ghent University,undefined
来源
Nature Physics | 2022年 / 18卷
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页码:476 / 477
页数:1
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