Hector Zenil (University of Cambridge), Narsis A. Kiani (Stockholm Karolinska Institutet), Jesper Tegner (King Abdullah University of Science and Technology

Gebundenes Buch

Algorithmic Information Dynamics

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.

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).

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 345
• Erscheinungstermin: 25. Mai 2023
• Englisch
• Abmessung: 244mm x 170mm x 21mm
• Gewicht: 814g
• ISBN-13: 9781108497664
• ISBN-10: 1108497667
• Artikelnr.: 67322943