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Order, Organization, and Randomness: On the Mathematical Formulation of Life

Cosgrove, Joseph (2024) Order, Organization, and Randomness: On the Mathematical Formulation of Life. [Preprint]

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Abstract

Abstract
Life increasingly is understood in terms of information. I consider two attempts to formulate life in terms of mathematical information theory. G. J. Chaitin proposes to define life in terms of the relation between order and algorithmic compressibility in biological information. More recently, William Dembski, Winston Ewart, and Robert J. Mark’s suggest that Dembski’s notion of specified complexity can be mathematically expressed in information-theoretic terms through the concept of algorithmic specified complexity. The mathematical approaches are similar and in both cases essentially dependent on the concept of randomness deficiency in algorithmic information theory: to subtract out the degree of randomness from an informational measure, yielding a remainder of organization (Chatin) or specified complexity (Dembski, Ewart, and Marks). I argue that these attempts must fail due the information-theoretic indistinguishability of organization and randomness. The failure is instructive, however, because it illustrates the inability of mathematical information theory to register biological organization.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Cosgrove, Josephjcosgrov@providence.edu0000-0003-0106-6573
Keywords: information, algorithmic, specified complexity, order, randomness, organization, biology, life, Chaitin, Dembski
Subjects: Specific Sciences > Computation/Information > Classical
Specific Sciences > Mathematics > Applicability
Specific Sciences > Mathematics > Epistemology
Specific Sciences > Biology > Molecular Biology/Genetics
Depositing User: Dr. Joseph Cosgrove
Date Deposited: 22 Nov 2024 18:37
Last Modified: 22 Nov 2024 18:37
Item ID: 24245
Subjects: Specific Sciences > Computation/Information > Classical
Specific Sciences > Mathematics > Applicability
Specific Sciences > Mathematics > Epistemology
Specific Sciences > Biology > Molecular Biology/Genetics
Date: 2024
URI: https://philsci-archive.pitt.edu/id/eprint/24245

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