Introduction to Online Complexity
Language: English
Published by Oxford University Press, GB, 2025
- Hardcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
US$ 113.86
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Add to basketItem description from seller
Today's online and offline world is an immensely complex system. We see numerous surprising "black swan" events emerging, yet it is hard to make sense of them. This book attempts to quantitatively address many of these phenomena from the perspective of physics. Physics is used as a tool to model interactions and provide potential control schemes to complex systems.The new science of systems interacting including heterogenous humans, technology, and Artificial Intelligence (AI) is an exciting prospect, with applications ranging from space missions through to new medical procedures. Introduction to Online Complexity lays out the new science of these systems with an aim to help equip the next generation of physicists and other scientists with knowledge of what to expect, how such systems can be described quantitatively, and what tools could be used to design behaviours or mitigate undesired behaviours. This book operates as both a source book and a textbook for this deeply interesting new physics.…
Seller Inventory # LU-9780198921011
- Title
- Introduction to Online Complexity
- Author
- Frank Yingjie Huo, Pedro D. Manrique, Minzhang Zheng, Neil Johnson
- Publisher
- Oxford University Press, GB
- Publication year
- 2025
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 0198921012
- ISBN 13
- 9780198921011
- Item weight
- 732 grams
- Dimensions
- 17.7 x 2 x 25.3 cm
The new science of systems interacting including heterogenous humans, technology, and Artificial Intelligence (AI) is an exciting prospect, with applications ranging from space missions through to new medical procedures. Introduction to Online Complexity lays out the new science of these systems with an aim to help equip the next generation of physicists and other scientists with knowledge of what to expect, how such systems can be described quantitatively, and what tools could be used to design behaviours or mitigate undesired behaviours.
This book operates as both a source book and a textbook for this deeply interesting new physics.
"Synopsis" may belong to another edition of this title.
About the Author
Frank Huo is a PhD student at the George Washington University, having graduated with BA, MA, and Mmath degrees from Pembroke College, Cambridge University. His research interests include theoretical physics of complex systems.
Professor Neil F. Johnson is Head of Dynamic Online Networks Laboratory, George Washington University. He was Professor of Physics at the University of Oxford until 2007, and has been a Professor of Physics at George Washington University since 2018.
Professor Pedro D. Manrique is Assistant Professor of Physics, Florida Polytechnic University. He has had research appointments at Los Alamos National Laboratory as a Director's fellow and at George Washington University.
Dr Minzhang Zheng is a Senior Bioinformatics Research Scientist at St. Jude Children's Research Hospital. He is also an adjunct Assistant Research Professor at George Washington University.
"About the title" may belong to another edition of this title.
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