New Foundations For Information Theory :

Springer Nature Switzerland AG

Explore the groundbreaking concepts of Logical Entropy and Shannon Entropy with this comprehensive book on Information Theory. Written by David Ellerman, this title presents new foundations for understanding information and its quantification. Ideal for researchers, students, and professionals in fields like computer science, engineering, and mathematics. Delve into the theoretical underpinnings of information and its applications. This book offers a deep dive into the fundamental principles of information theory, focusing on novel approaches to entropy measurement. It provides a rigorous treatment of Logical Entropy and its relationship to the established Shannon Entropy. Key topics covered include the axioms and properties of logical entropy, its comparison with statistical entropy, and potential applications in various domains. Key Features: * Presents new theoretical frameworks for information entropy. * Detailed analysis of Logical Entropy and Shannon Entropy. * Suitable for advanced study and research. * Written by a leading expert in the field. Summary: David Ellerman's 'New Foundations for Information Theory' offers a significant contribution to the field, exploring Logical Entropy and Shannon Entropy for a deeper understanding of information quantification.