Epistemic Processes : A Basis for Statistics and Quantum Theory
Softcover Reprint of the Original 1st 2018 ed.
Book Details
Format
Paperback / Softback
ISBN-10
3030069680
ISBN-13
9783030069681
Edition
Softcover Reprint of the Original 1st 2018 ed.
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 20th, 2018
Print length
164 Pages
Product Classification:
Philosophy: epistemology & theory of knowledgeProbability & statisticsProbability and statisticsPhilosophy of scienceQuantum physics (quantum mechanics & quantum field theory)Quantum physics (quantum mechanics and quantum field theory)Mathematical / Computational / Theoretical physicsMathematical physicsPhilosophy: epistemology and theory of knowledge
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This book discusses a link between statistical theory and quantum theory based on the concept of epistemic processes – which can be e.g. The book describes a possible epistemic foundation of quantum theory. Hence the book can also be seen as a motivation for further research into quantum decision theory and quantum models for cognition.
This book discusses a link between statistical theory and quantum theory based on the concept of epistemic processes – which can be e.g. statistical investigations or quantum mechanical measurements, and refer to processes that are used to gain knowledge about something. The book addresses a range of topics, including a derivation of the Born formula from reasonable assumptions, a derivation of the Schrödinger equation in the one-dimensional case, and a discussion of the Bell inequality from an epistemic perspective. The book describes a possible epistemic foundation of quantum theory. Lastly, it presents a general philosophical discussion of the approach, which, principally speaking, is not restricted to the micro-world. Hence the book can also be seen as a motivation for further research into quantum decision theory and quantum models for cognition. The book will benefit a broad readership, including physicists and statisticians interested in the foundation of their disciplines, philosophers of science and graduate students, and anyone with a reasonably good background in mathematics and an open mind.
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