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Entropy: A New World View is a non-fiction book by Jeremy Rifkin and Ted Howard, with an Afterword by Nicholas Georgescu-Roegen. It was first published by Viking Press, New York in 1980 (ISBN 0-670-29717-8). A paperback edition was published by Bantam in 1981, in a paperback revised edition, by Bantam Books, in 1989 (ISBN 0-553-34717-9).
Cycles of Time: An Extraordinary New View of the Universe is a science book by mathematical physicist Roger Penrose published by The Bodley Head in 2010. The book outlines Penrose's Conformal Cyclic Cosmology (CCC) model, which is an extension of general relativity but opposed to the widely supported multidimensional string theories and cosmological inflation following the Big Bang.
If one considers the text of every book ever published as a sequence, with each symbol being the text of a complete book, and if there are N published books, and each book is only published once, the estimate of the probability of each book is 1/N, and the entropy (in bits) is −log 2 (1/N) = log 2 (N).
Grammatical Man: Information, Entropy, Language, and Life is a 1982 book written by Jeremy Campbell, then Washington correspondent for the Evening Standard. [1] The book examines the topics of probability, information theory, cybernetics, genetics, and linguistics. Information processes are used to frame and examine all of existence, from the ...
Rudolf Julius Emanuel Clausius (German pronunciation: [ˈʁuːdɔlf ˈklaʊzi̯ʊs]; [1] [2] 2 January 1822 – 24 August 1888) was a German physicist and mathematician and is considered one of the central founding fathers of the science of thermodynamics. [3]
Research concerning the relationship between the thermodynamic quantity entropy and both the origin and evolution of life began around the turn of the 20th century. In 1910 American historian Henry Adams printed and distributed to university libraries and history professors the small volume A Letter to American Teachers of History proposing a theory of history based on the second law of ...
Despite the foregoing, there is a difference between the two quantities. The information entropy Η can be calculated for any probability distribution (if the "message" is taken to be that the event i which had probability p i occurred, out of the space of the events possible), while the thermodynamic entropy S refers to thermodynamic probabilities p i specifically.
The term entropy is often used in popular language to denote a variety of unrelated phenomena. One example is the concept of corporate entropy as put forward somewhat humorously by authors Tom DeMarco and Timothy Lister in their 1987 classic publication Peopleware, a book on growing and managing productive teams and successful software projects ...