Algorithmic Information Dynamics | Buch

Cover: 9781108497664 | Algorithmic Information Dynamics | Hector Zenil (u. a.) | Buch | 2023

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Sprache: Englisch

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Beschreibung

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.

Über den Autor

Hector Zenil is a senior researcher at the Alan Turing Institute, British Library, researcher at the Department of Chemical Engineering and Biotechnology, University of Cambridge and the leader of the Algorithmic Dynamics Lab at the Karolinska Institute in Sweden. Previous positions include Computer Science faculty member at the University of Oxford, NASA Payload team member for the Mars Gravity Biosatellite at the Massachusetts Institute of Technology, and researcher at the Evolutionary and Behavioural Theory Lab at the University of Sheffield. He helped develop the factual answering Artificial Intelligence engine behind Siri and Alexa at Wolfram Research. He has published over 120 peer-reviewed papers, edited six books, is Editor of the journal Complex Systems, and the author of Methods and Applications of Algorithmic Complexity (2022).

Inhaltsverzeichnis

Introduction; Part I. Preliminaries: 1. A computational approach to causality; 2. Networks: from structure to dynamics; 3. Information and computability theories; Part II. Theory and Methods: 4. Algorithmic information theory; 5. The coding theorem method (CTM); 6. The block decomposition method (BDM); 7. Graph and tensor complexity; 8. Algorithmic information dynamics (AID); Part III. Applications: 9. From theory to practice; 10. Algorithmic dynamics in artificial environments; 11. Applications to integer and behavioural sequences; 12. Applications to evolutionary biology; Postface; Appendix: Mutual and conditional BDM; Glossary.

Erscheinungsjahr:	2023
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Inhalt:	Gebunden
ISBN-13:	9781108497664
ISBN-10:	1108497667
Sprache:	Englisch
Einband:	Gebunden
Autor:	Zenil, Hector Kiani, Narsis A Tegnér, Jesper
Hersteller:	Cambridge University Press
Maße:	244 x 170 x 21 mm
Von/Mit:	Hector Zenil (u. a.)
Erscheinungsdatum:	25.05.2023
Gewicht:	0,748 kg

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