on the observability of a complex system

“The developed approach can also identify the optimal sensors for target or partial observability, helping us reconstruct selected state variables from appropriately chosen outputs, a prerequisite for optimal biomarker design. Given the fundamental role observability plays in complex systems, these results offer avenues to systematically explore the dynamics of a wide range of natural, technological and socioeconomic systems (from the Abstract, “Observability of a complex systems”, 2013, PNAS Early Edition by Yang-Yu Liu, Jean-Jacques Slotine, Albert-László Barabási)

http://www.barabasilab.com/pubs/CCNR-ALB_Publications/201301-28_PNAS-Observability/201301-28_PNAS-Observability.pdf

Schermata 03-2456359 alle 23.28.15

Published by

Cosimo Accoto

Research Affiliate at MIT (Boston). Formerly, Partner and VP Innovation at OpenKnowledge http://www.open-knowledge.it/en/ | Books author and coauthor (recently published "Social Mobile Marketing", Egea 2014, 2e) | Digital theorist and international researcher | Analytics industry speaker | @cosimoaccoto | http://www.linkedin.com/in/cosimoaccoto | cosimo.accoto@open-knowledge.it |

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