Information as Receptive Relation

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A01=Tianen Wang
A01=Xi Wang
Artificial General Intelligence
artificial general intelligence research
Author_Tianen Wang
Author_Xi Wang
biological signalling
Category=GL
Category=PDA
Category=QD
Category=UB
Category=UYQ
consciousness studies
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Information Civilization
information philosophy
Information Research
laws of information-matter interaction
quantum information theory
sensory perception mechanisms

Product details

  • ISBN 9781032778051
  • Weight: 350g
  • Dimensions: 156 x 234mm
  • Publication Date: 28 Nov 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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This book aims to revolutionize information research by introducing a receptive relation understanding of information, which systematically unveils its fundamental characteristics: created ex nihilo, emergence, reciprocity and shareability.

Through a thorough exploration of organismic and sensory receptivity, the book establishes a mechanistic foundation for understanding the nature of information. It navigates the origins of biological information and leads readers into a new era of information studies. Offering a fresh perspective on the nature of information, it delves into its physical, digital, and ideational encodings, as well as the ideational system built upon them. The book sheds light on critical issues such as quantum manifestation of information and the fundamental laws governing the relationship between information and matter/energy. It also dispels common misconceptions about information and its role in the evolution of information civilization.

The book provides valuable insights into understanding artificial general intelligence and the mysteries of consciousness and life. It will be of interest to researchers and students of information philosophy, information science, and artificial intelligence.

Tianen Wang is a Professor of Philosophy at Shanghai University with a Ph.D. from Wuhan University. His current research interests concern an integrated philosophical and scientific investigation of information, big data, and artificial intelligence based on systemic research on theories of description and stipulation.

Xi Wang is a lecturer at the School of Computer Engineering and Science, Shanghai University. She received her Ph.D. degree from Hosei University, Japan. Her research interests include software engineering and machine learning.

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