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Titlebook: Novelty, Information and Surprise; Günther Palm Book 2022Latest edition Springer-Verlag GmbH Germany, part of Springer Nature 2022 informa

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51#
發(fā)表于 2025-3-30 08:58:17 | 只看該作者
Novelty, Information and Surprise978-3-662-65875-8Series ISSN 1613-9011 Series E-ISSN 2197-4128
52#
發(fā)表于 2025-3-30 13:42:42 | 只看該作者
53#
發(fā)表于 2025-3-30 18:37:38 | 只看該作者
54#
發(fā)表于 2025-3-30 23:01:48 | 只看該作者
Günther PalmProvides definitions of useful new concepts: description, novelty, surprise, template.Discusses new viewpoints on information theory in relation to the natural sciences.Demonstrates a method of analyz
55#
發(fā)表于 2025-3-31 02:27:19 | 只看該作者
Prerequisites from Logic and Probability TheoryThis chapter lays the probabilistic groundwork for the rest of the book. We introduce standard probability theory. We call the elements . of the .-algebra “propositions” instead of the more common “events.” We reserve the word “event” for the elements of the probability space Ω.
56#
發(fā)表于 2025-3-31 08:09:38 | 只看該作者
Improbability and Novelty of DescriptionsIn this chapter, we define the information of an event .?∈?Σ, or in our terminology, the . of a .. as ?log..(.). We further define the important new concept of a . and extend the definition of . from events to .. Finally, we introduce the notions of . and . and thereby the distinction between . and ., which are opposite special cases of ..
57#
發(fā)表于 2025-3-31 11:00:33 | 只看該作者
Conditional and Subjective Novelty and InformationThis chapter introduces some more involved versions of the concepts of novelty and information, such as subjective and conditional novelty.
58#
發(fā)表于 2025-3-31 14:14:13 | 只看該作者
Information TransmissionThis chapter introduces the concept of a transition probability and the problem of guessing the input of an information channel from its output. It gives a first idea on the classical results of Shannon, without introducing the technicalities of stationary stochastic processes and the proof of Shannon’s theorem.
59#
發(fā)表于 2025-3-31 17:41:05 | 只看該作者
Stationary Processes and Their Information RateThis chapter briefly introduces the necessary concepts from the theory of stochastic processes (see for example Lamperti 1977; Doob 1953) that are needed for a proper definition of information rate and channel capacity, following Shannon.
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