L'édition de cet ISBN n'est malheureusement plus disponible.
Afficher les exemplaires de cette édition ISBN
Frais de port :
Gratuit
Vers Etats-Unis
Description du livre Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEOCT23-228516
Description du livre Etat : New. N° de réf. du vendeur 26395973429
Description du livre Etat : New. N° de réf. du vendeur 45533675-n
Description du livre Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur 0LIFHSYUOI
Description du livre Etat : New. N° de réf. du vendeur 401452266
Description du livre Etat : New. Book is in NEW condition. N° de réf. du vendeur 1108497667-2-1
Description du livre Etat : New. New! This book is in the same immaculate condition as when it was published. N° de réf. du vendeur 353-1108497667-new
Description du livre Hardcover. Etat : Brand New. 345 pages. 9.61x6.69x0.81 inches. In Stock. N° de réf. du vendeur __1108497667
Description du livre Hardcover. Etat : new. Hardcover. Biological systems are extensively studied as interactions forming complex networks. Reconstructing causal knowledge from, and principles of, these networks from noisy and incomplete data is a challenge in the field of systems biology. Based on an online course hosted by the Santa Fe Institute Complexity Explorer, this book introduces the field of Algorithmic Information Dynamics, a model-driven approach to the study and manipulation of dynamical systems . It draws tools from network and systems biology as well as information theory, complexity science and dynamical systems to study natural and artificial phenomena in software space. It consists of a theoretical and methodological framework to guide an exploration and generate computable candidate models able to explain complex phenomena in particular adaptable adaptive systems, making the book valuable for graduate students and researchers in a wide number of fields in science from physics to cell biology to cognitive sciences. Aimed at graduate students and researchers, this book offers a model-driven approach to the study and manipulation of dynamical systems. Based on an online course hosted by the Complexity Explorer, it uses analytical tools from information theory and complexity science to tackle key challenges in network and systems biology. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781108497664
Description du livre Hardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. N° de réf. du vendeur C9781108497664