The Fundamental Problem of the Science of Information

Biosemiotics 12 (2):213-244 (2019)
  Copy   BIBTEX

Abstract

The concept of information has been extensively studied and written about, yet no consensus on a unified definition of information has to date been reached. This paper seeks to establish the basis for a unified definition of information. We claim a biosemiotics perspective, based on Gregory Bateson’s definition of information, provides a footing on which to build because the frame this provides has applicability to both the sciences and humanities. A key issue in reaching a unified definition of information is the fundamental problem of identifying how a human organism, in a self-referential process, develops from a state in which its knowledge of the human-organism-in-its-environment is almost non-existent to a state in which the human organism not only recognizes the existence of the environment but also sees itself as part of the human-organism-in-its-environment system. This allows a human organism not only to self-referentially engage with the environment and navigate through it, but also to transform it in its own image and likeness. In other words, the Fundamental Problem of the Science of Information concerns the phylogenetic development process, as well as the ontogenetic development process of Homo sapiens sapiens from a single cell to our current multicellular selves, all in a changing long-term and short-term environment, respectively.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,202

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Consciousness, information, and panpsychism.William Seager - 1995 - Journal of Consciousness Studies 2 (3):272-88.
A Possible Dilemma for Situation Semanticists.Woosuk Park - 2017 - Foundations of Science 22 (1):161-182.
Feedback loops: a fundamental ingredient of information processing.Paul Baird - 2015 - Springer Lecture Notes in Computer Science 8951:24-38.
Abstraction in computer science.Timothy Colburn & Gary Shute - 2007 - Minds and Machines 17 (2):169-184.
Pre-cognitive Semantic Information.Orlin Vakarelov - 2010 - Knowledge, Technology & Policy 23 (1-2):193-226.
Objective Fundamental Reality Structure by the Unreduced Complexity Development.Andrei P. Kirilyuk - 2018 - FQXi Essay Contest 2017-2018 “What Is “Fundamental””.

Analytics

Added to PP
2019-03-01

Downloads
27 (#557,528)

6 months
7 (#350,235)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Citations of this work

Biosemiotics and Applied Evolutionary Epistemology: A Comparison.Nathalie Gontier & M. Facoetti - 2021 - In In: Pagni E., Theisen Simanke R. (eds) Biosemiotics and Evolution. Interdisciplinary Evolution Research, vol 6. Springer, Cham. Cham: pp. 175-199.

Add more citations

References found in this work

Knowledge and the flow of information.F. Dretske - 1989 - Trans/Form/Ação 12:133-139.
The Senses Considered as Perceptual Systems.Charles K. West & James J. Gibson - 1969 - Journal of Aesthetic Education 3 (1):142.
Cybernetics or Control and Communication in the Animal and the Machine.N. Wiener - 1948 - Revue Philosophique de la France Et de l'Etranger 141:578-580.
The intelligent use of space.David Kirsh - 1995 - Artificial Intelligence 73 (1--2):31-68.

View all 36 references / Add more references