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9783642290749

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From the reviews: In this interesting book, the author extends classical Shannon information theory to include the subjective element of interestingness, novelty or surprise. ... A theory of novelty and surprise is developed in this book to provide a brief and comprehensive exposition of classical information theory ... . all the chapters have exercises, and so this book can be used as an undergraduate/graduate textbook. Since each chapter contains a decent number of references ... readers can find research problems from those references. (Yuichiro Kakihara, Mathematical Reviews, July, 2013) In this book the author introduces (subjective) notions of interestingness, novelty and surprise of messages employing probality spaces ... . The book is easy to read and does not require strong mathematical background, thus it could be used as a textbook or as material for self-study in graduate or post-graduate courses. (Jaak Henno, Zentralblatt MATH, Vol. 1257, 2013)

From the reviews: In this book the author introduces (subjective) notions of interestingness, novelty and surprise of messages employing probality spaces ... . The book is easy to read and does not require strong mathematical background, thus it could be used as a textbook or as material for self-study in graduate or post-graduate courses. (Jaak Henno, Zentralblatt MATH, Vol. 1257, 2013)

Author Information

Günther Palm studied mathematics in Hamburg and Tübingen. After completing his studies in mathematics (Master in 1974, Ph.D. in 1975) he worked on nonlinear systems, associative memory and brain theory at the MPI for Biological Cybernetics in Tübingen. In 1983/84 he was a Fellow at the Wissenschaftskolleg in Berlin. From 1988 to 1991 he was professor for theoretical brain research at the University of Düsseldorf. Since then he has served as a professor for computer science and Director of the Institute of Neural Information Processing at the University of Ulm, where his focus is on information theory, pattern recognition, neural networks, and brain modelling.

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