Access the full text.
Sign up today, get DeepDyve free for 14 days.
E. Wiley, D. Brooks (1982)
Victims of History—A Nonequilibrium Approach to EvolutionSystematic Biology, 31
H. Leff, A. Rex (1991)
Maxwell's Demon : Entropy, Information, Computing
E. Jablonka, M. Lamb (1995)
Epigenetic Inheritance and Evolution: The Lamarckian Dimension
C. Darwin (1872)
The Origin of Species
W. Zurek (1989)
Algorithmic randomness and physical entropy.Physical review. A, General physics, 40 8
Motoo Kimura (1983)
The neutral theory of molecular evolution.Scientific American, 241 5
M. Tang, P. Pham, Xuan Shen, John-Stephen Taylor, M. O’Donnell, R. Woodgate, M. Goodman (2000)
Roles of E. coli DNA polymerases IV and V in lesion-targeted and untargeted SOS mutagenesisNature, 404
Charles Bennett (1982)
The thermodynamics of computation—a reviewInternational Journal of Theoretical Physics, 21
M. Di Giulio (1998)
Reflections on the Origin of the Genetic CodeJournal of Theoretical Biology, 191
D. Simberloff, R. Levins, R. Lewontin (1987)
The Dialectical Biologist
E. Jablonka, M. Lachmann, M. Lamb (1992)
Evidence, mechanisms and models for the inheritance of acquired charactersJournal of Theoretical Biology, 158
M. Giulio (1998)
Reflections on the origin of the genetic code: a hypothesis.Journal of Theoretical Biology, 191
W. Zurek (2003)
Maxwell’s Demon, Szilard’s Engine and Quantum MeasurementsarXiv: Quantum Physics
F. Taddei, F. Taddei, M. Radman, J. Maynard-Smith, B. Toupance, P. Gouyon, B. Godelle, B. Godelle (1997)
Role of mutator alleles in adaptive evolutionNature, 387
L. Johnson (1992)
An ecological approach to biosystem thermodynamicsBiology and Philosophy, 7
F. Jacob (2022)
The Logic of Life
F. Jacob (1982)
A History of Heredity
K. Matsuno (1992)
The uncertainty principle as an evolutionary engine.Bio Systems, 27 2
M. Radman (1999)
Mutation: Enzymes of evolutionary changeNature, 401
H. Leff, A.F. Rex (1990)
Entropy, Information, Computing
W.H. Zurek (1984)
Frontiers of Nonequilibrium Statistical Physics
L. Buss (1987)
The evolution of individuality
G. Bateson (1980)
A necessary unity
W. Thompson (1879)
Royal Society Proceedings
W.H. Zurek (1990)
Complexity, Entropy, and the Physics of Information, SFI Studies in the Sciences of Complexity
C. Hartshorne, P. Weiss (1935)
Collected Papers of Charles Sanders PeirceNature, 135
P. Acot (1997)
The Lamarckian Cradle of Scientific EcologyActa Biotheoretica, 45
C.H. Waddington (1976)
Hacia una Biología Teórica
E. Jablonka, M. Lamb (1998)
Epigenetic inheritance in evolutionJournal of Evolutionary Biology, 11
P. Sniegowski, R. Lenski (1995)
Mutation and Adaptation: The Directed Mutation Controversy in Evolutionary PerspectiveAnnual Review of Ecology, Evolution, and Systematics, 26
W. Zurek (1989)
Thermodynamic cost of computation, algorithmic complexity and the information metricNature, 341
Robert Johnson, S. Prakash, L. Prakash (2000)
The human DINB1 gene encodes the DNA polymerase Poltheta.Proceedings of the National Academy of Sciences of the United States of America, 97 8
M. Radman (1999)
Enzymes in evolutionary changeNature, 401
G. Chaitin (1975)
Randomness and Mathematical ProofScientific American, 232
W. Zurek (1991)
Algorithmic Information Content, Church — Turing Thesis, Physical Entropy, and Maxwell’s Demon
B. Turner, G. Bateson (1980)
Mind and Nature
Eugenio Andrade (2000)
From external to internal measurement: a form theory approach to evolution.Bio Systems, 57 1
J. Smith (1990)
Models of a dual inheritance system.Journal of Theoretical Biology, 143
S. Oyama (2000)
Evolution's eye: A systems view of the biology-culture divide.
R. Burkhardt (1977)
The Spirit of System: Lamarck and Evolutionary Biology
P. Griffiths, R. Gray (1997)
Replicator II – Judgement DayBiology and Philosophy, 12
Jesper Hoffmeyer, C. Emmeche (1991)
Code-duality and the semiotics of nature
C. Adami, C. Ofria, T. Collier (2000)
Evolution of Biological ComplexityProceedings of the National Academy of Sciences of the United States of America, 97 9
E. Andrade (1999)
Maxwell demon's and Natural selection: Semiotic approach to Evolutionary BiologySemiotica (special issue Biosemiotica), 127
P. Heimann (1970)
Molecular forces, statistical representation and Maxwell's demonStudies in History and Philosophy of Science, 1
R.W. Burkhardt (1995)
Lamarck and Evolutionary Biology
J. Maynard Smith (1990)
Models of dual inheritanceJournal of Theoretical Biology, 143
H. Fairlamb, G. Bateson (1979)
Mind and Nature: A Necessary UnityMln, 94
J. Otsuka, Y. Nozawa (1998)
Self-reproducing system can behave as Maxwell's demon: theoretical illustration under prebiotic conditions.Journal of theoretical biology, 194 2
D. Depew, B. Weber (1994)
Darwinism Evolving: Systems Dynamics and the Genealogy of Natural Selection
J. Greene (1981)
Science, Ideology, and World View: Essays in the History of Evolutionary Ideas
R. Root-Bernstein, Patrick Dillon (1997)
Molecular complementarity I: the complementarity theory of the origin and evolution of life.Journal of theoretical biology, 188 4
L. Brillouin (1951)
Maxwell's Demon Cannot Operate: Information and Entropy. IJournal of Applied Physics, 22
H. Pattee (1993)
The limitations of formal models of measurement, control, and cognitionApplied Mathematics and Computation, 56
B. Mcclintock (1984)
The significance of responses of the genome to challenge.Science, 226 4676
J. Hoffmeyer, C. Emmeche (1991)
On semiotics of Modeling
R. Johnson, S. Prakash, L. Prakash (2000)
The Human DINB 1 gene encodes the DNA polimerase Pol θProceedings of the National Academy of Science (USA), 97
I. Prigogine, G. Nicolis, A. Babloyantz (1972)
Thermodynamics of evolutionPhysics Today, 25
J. Monod (1970)
Azar y Necesidad
L. Valen (1973)
A new evolutionary law, 1
D.R. Brooks, E.O. Wiley (1986)
Towards a Unified Theory of Biology
This paper defends an internalist perspective of selection based on the hypothesis that considers living evolutionary units as Maxwell's demons (MD) or Zurek's Information Gathering and Using Systems (IGUS). Individuals are considered as IGUS that extract work by means of measuring and recording processes. Interactions or measurements convert uncertainty about the environment (Shannon's information, H) into internalized information in the form of a compressed record (Chaitin's algorithmic complexity, K). The requirements of the model and the limitations inherent to its formalization are discussed. This approach offers an alternative view to the causes of evolutionary variations which goes beyond the classical Lamarckian-Darwinian controversy. I argue that random variations only apply near-to-equilibrium at the time organisms have attained structural closure, and that a speed up of mutation rates that facilitates the production of directed variations occurs far-from-equilibrium due to organisms' openness to the surrounding conditions. However, real organisms are located somewhere between the above two cases and thus, operate at an intermediate stage where there is a maximum efficiency of H/K conversion. In consequence, IGUS keep their autonomy and evolving capacity by compromising between external circumstances and inner constraints. This compromise is made possible by closure regulation. Likewise, this model explains why nature has favored the selection of agents capable of selectively recording a partial description of their environment.
Acta Biotheoretica – Springer Journals
Published: Oct 18, 2004
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.