Wishlist
Book Summary
Objective Information Theory by Jianfeng Xu and colleagues presents a formal framework for quantifying information in a way that is independent of observer and context. It introduces mathematical definitions, measures, and principles that aim to unify subjective and objective perspectives. The book is suited for researchers and graduate students in information science, computer science, and philosophy who seek a rigorous theoretical foundation for information.
This book is not available
Store  |
Condition |
Deals & Coupons | Price |
Est. Shipping |
Total |
Buy |
|---|---|---|---|---|---|---|
| Sorry we could not find any result for “9789811999284” | ||||||
About Objective Information Theory
Objective Information Theory offers a comprehensive and mathematically rigorous treatment of information as an objective phenomenon. The authors develop a formal system that defines information in terms of its intrinsic properties, independent of human interpretation. The book covers foundational concepts, measures of information content, and principles governing information transmission and processing. It bridges gaps between Shannon's statistical theory and semantic or pragmatic views by proposing a unified objective framework. Through careful definitions, theorems, and examples, the text demonstrates how objective information can be quantified and applied in areas such as data science, communication, and epistemology. This work is a significant contribution to theoretical information science, providing tools for analyzing information systems and fostering deeper understanding of information's role in nature and technology.
Who should read Objective Information Theory?
This book is essential for graduate students, researchers, and academics in information science, computer science, mathematics, and philosophy who are interested in the theoretical foundations of information. It is also valuable for professionals working on information systems, data analytics, and communication theory who wish to ground their work in a rigorous conceptual framework. Readers should have a solid background in mathematics and formal logic to fully appreciate the content.
Pros & Cons
Pros
- ✓ Provides a rigorous mathematical framework for objective information
- ✓ Bridges subjective and objective perspectives on information
- ✓ Offers formal definitions and measures that can be applied across disciplines
- ✓ Written by leading experts in the field
- ✓ Includes examples and theorems to illustrate concepts
Cons
- ✗ Highly abstract and mathematically demanding for non-specialists
- ✗ Limited practical case studies or applications
- ✗ Assumes strong background in information theory and logic
- ✗ May be too theoretical for practitioners seeking immediate tools
- ✗ Not suitable for introductory readers
Similar books
Frequently asked questions
What is objective information theory?
Objective information theory is a formal framework that defines and measures information based on its intrinsic properties, independent of observers or contexts, aiming to provide a universal and rigorous foundation for information science.
Who are the authors of this book?
The book is authored by Jianfeng Xu, Shuliang Wang, Yingxu Dang, Yashi Wang, Yingfei Wang, and Zhenyu Liu, researchers specializing in information theory and related fields.
Is this book suitable for self-study?
It can be used for self-study by advanced readers with a strong mathematical background, but it is primarily intended for academic courses and research.
Does the book include practical applications?
While the focus is theoretical, the book discusses potential applications in data science, communication, and epistemology, though it does not provide detailed case studies.
What background is needed to understand this book?
Readers should have prior knowledge of probability theory, mathematical logic, and basic information theory. Familiarity with formal methods is recommended.
At Windsorbooks, we compare prices from trusted sellers so you can buy, rent, or sell textbooks at the best total price — shipping included.
As an Amazon Associate, Windsorbooks.com may earn a small commission on qualifying purchases.