Asymmetry: the foundation of information

Normally a religious book should be read at least 100 times; a philosophy book 10 times and a science monograph should be read carefully at least once before you can claim that you have read the book and understand something. However, with the information explosion, nowadays, people do not have enough time to read even one time from cover to cover, even for books prepared by philosophers. That is why wise writers make the book title longer and longer and the main statements of conclusions are simply given in the title. I guess some people may claim that they have read the book already even though actually they have only glanced at the title, or perhaps the table of contents. This book [1] is prepared in such a way that perhaps the author did not really expect anyone to read it carefully. The reference list has more than one style. The word " distinguishability " was misspelled on page 22 once and the wrong word even appeared in the Index as a separate entry. This book is based on the PhD thesis completed in 2004 with John Collier as the cosupervisor, at the Philosophy and Religious Studies section of University of Newcastle, Australia. The main idea that " asymmetry is the foundation of information " as can be seen in the title might be derived from John Collier's statement that " information originates in symmetry breaking " and " causation is the transfer of information " , which appeared as article titles of two papers cited in this book. Interested readers may directly read these two papers, available at John's homepage [2]. I was attracted by the title and the table of contents because asymmetry-information-distinguishability relationship and entropy-symmetry-indistinguishability relationship was presented in my papers published since 1996. I conceived the idea of higher symmetry-higher entropy relationship and the related conclusions because of my doubt about the validity of the entropy theory of Prigogine's school of thermodynamics [3,4] and based on my resolution of the Gibbs paradox and new entropy-similarity relationship [5]. The keyword Gibbs paradox also appeared in the table of contents.