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Randomness Through Computation: Some Answers, More Questions, by Hector Zenil
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This review volume consists of a set of chapters written by leading scholars, most of them founders of their fields. The volume is intended to explain the phenomenon of Randomness through the use of Computation, and to explore the connections of Randomness to other areas of scientific knowledge, especially its fruitful relationship to Computability and Complexity Theory, and also to areas such as Probability, Statistics, Information Theory, Biology, Physics, Quantum Mechanics, Learning Theory and Artificial Intelligence. The contributors cover these topics without neglecting important philosophical dimensions, sometimes going beyond the purely technical to formulate age old questions relating to matters such as determinism and free will. The scope of Randomness Through Computation is novel. Each contributor shares their personal views and anecdotes on the various reasons and motivations which led them to the study of Randomness. Using a question and answer format, they share their visions from their several distinctive vantage points.
The following are the sections in which the contributions have been grouped: Stochastic Randomness and Probabilistic Deliberations | Randomness and Computation in Connection to the Physical World | Algorithmic Inference and Artificial Intelligence | Computational Complexity, Randomized Algorithms and Applications.
Excerpt from ACM Computing Reviews. Date Reviewed: 22 Feb, 2012:
I couldn't put this book down. Its presentation of a computational approach to randomness, with its strong focus on applications, is the best I have read. It is carefully edited and comprises several chapters--most of them are by leading experts, and some are even the founders of their respective fields....I thoroughly enjoyed reading this gem of a book. Its target audience includes post-graduates and researchers in CS, statistics, applied mathematics, and related disciplines. It is surely a must-have book for any scientific library. Apart from research, the book also serves pedagogical and philosophical interests.Reviewer: �Soubhik ChakrabortyACM Review #: CR139897
Full review online at the ACM Computing Reviews website.
- Sales Rank: #3979694 in Books
- Published on: 2011-02-11
- Original language: English
- Number of items: 1
- Dimensions: 9.10" h x 1.10" w x 6.10" l, 1.65 pounds
- Binding: Hardcover
- 440 pages
Review
"I couldn't put this book down. Its presentation of a computational approach to randomness, with its strong focus on applications, is the best I have read. It is carefully edited and comprises several chapters most of them are by leading experts, and some are even the founders of their respective fields ... I thoroughly enjoyed reading this gem of a book. Its target audience includes post-graduates and researchers in CS, statistics, applied mathematics, and related disciplines. It is surely a must-have book for any scientific library. Apart from research, the book also serves pedagogical and philosophical interests."-- ACM Computing Reviews
"It is a book aimed at the general scientist/philosopher/mathematically literate reader. You won't learn the precise details of quantum mechanics in this book, but what you will learn is a great deal about current thinking of a collection of leading experts in a broad range of topics in and around randomness. It certainly gave me much food for thought. I certainly found a lot of food for thought here, and regard this as an excellent addition to my library." --Amazon.com
From the Author
The book is intended to explain the larger and intuitive concept of randomness by means of computation, particularly through algorithmic complexity and recursion theory. The contributors include E. Allender, C.S. Calude, G. Chaitin, J.-P. Delahaye, R.G. Downey, M. Ferbus-Zanda, S. Grigorieff, P. G�cs, N. Gauvrit, R. Graham, M. Hutter, M. Li, G. Longo, C. Palamidessi. T. Paul, J.S. Miller, A. Nies, A.L. Rukhin, J. Schmidhuber, R. Solomonoff, L. Staiger, M.A. Stay, K. Svozil, T. Toffoli, O. Watanabe and S. Wolfram. The book also includes the transcriptions (by A. German) of two panel discussion on the topics Is The Universe Random? featuring C.S. Calude, J. Casti, G.J. Chaitin, Paul Davies, S. Wolfram and K. Svozil held at the University of Vermont in 2007; and What is Computation? (How) Does Nature Compute? featuring C.S. Calude, G.J. Chaitin, E. Fredkin, T.J. Leggett, R. de Ruyter, T. Toffoli and S. Wolfram, held at the University of Indiana Bloomington in 2008. The book is intended to the general public, undergraduate and graduate students in math, computer science, physics and other sciences, but also to philosophers of science and researchers.
From the Inside Flap
This review volume consists of an indispensable set of chapters written by leading scholars, scientists and researchers in the field of Randomness, including related subfields specially but not limited to the strong developed connections to the Computability and Recursion Theory. Highly respected, indeed renowned in their areas of specialization, many of these contributors are the founders of their fields.
The scope of Randomness Through Computation is novel. Each contributor shares his personal views and anecdotes on the various reasons and motivations which led him to the study of the subject. They share their visions from their vantage and distinctive viewpoints. In summary, this is an opportunity to learn about the topic and its various angles from the leading thinkers.
Most helpful customer reviews
2 of 3 people found the following review helpful.
Remarkable in its breadth
By Rod Downey
There is a current fascination with randomness and techniques using randomness to understand nature, biology, physics, mathematics, etc. This book is a collection of essays of varying length about randomness together with two long panel discussions at the end about whether the universe is computable and the nature of randomness. At this point I must give a disclaimer, in that I am the author of one of the articles; however, I will write this review based on the articles that are not mine! The articles are by many of the leading lights in a remarkable diverse collections of areas related to this topic. There are experts here in physics talking about things like quantum mechanics, and the Copenhagen interpretation and the nature of space time. There are experts in the area of algorithmic randomness where we try to give meaning to the notion that an individual sequence is random.
There are leading computer scientists who discuss relationships of randomness to algorithms and the relationship to things like computational complexity (meaning the intrinsic difficulty of computational processes when resources are used). There are articles by philosophers, and articles by people using probabilistic techniques in number theory. There is a lot more. The book grew from an earlier one planned by Zenil called ``Randomness: 5 questions'', which asked authors how they got into mathematics/computer science/biology/physics etc, what are the big questions etc. This format gives the reader some idea as to the topics discussed in the book, though authors have not stuck to that format. It is a book aimed at the general scientist/philosopher/mathematically literate
reader. You won't learn the precise details of quantum mechanics in this book, but what you will learn is a great deal about current thinking of a collections of leading experts in a broad range of topics in and around randomness. It certainly gave me much food for thought. I certainly found a lot of food for thought here, and regard this as an excellent addition to my library.
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