The DOI matches its Crossref record.
The Origins of Order: Self-Organization and Selection in Evolution
Abstract
Stuart Kauffman here presents a brilliant new paradigm for evolutionary biology, one that extends the basic concepts of Darwinian evolution to accommodate recent findings and perspectives from the fields of biology, physics, chemistry and mathematics. The book drives to the heart of the exciting debate on the origins of life and maintenance of order in complex biological systems. It focuses on the concept of self-organization: the spontaneous emergence of order that is widely observed throughout nature Kauffman argues that self-organization plays an important role in the Darwinian process of natural selection. Yet until now no systematic effort has been made to incorporate the concept of self-organization into evolutionary theory. The construction requirements which permit complex systems to adapt are poorly understood, as is the extent to which selection itself can yield systems able to adapt more successfully. This book explores these themes. It shows how complex systems, contrary to expectations, can spontaneously exhibit stunning degrees of order, and how this order, in turn, is essential for understanding the emergence and development of life on Earth. Topics include the new biotechnology of applied molecular evolution, with its important implications for developing new drugs and vaccines; the balance between order and chaos observed in many naturally occurring systems; new insights concerning the predictive power of statistical mechanics in biology; and other major issues. Indeed, the approaches investigated here may prove to be the new center around which biological science itself will evolve. The work is written for all those interested in the cutting edge of research in the life sciences.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“As it has been proposed by several authors, complexity can be seen as balance between order and disorder (Langton, 1990; Kauffman, 1993; Lopez-Ruiz et al., 1995)”
From Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis (2013) · cites this paper as Kauffman, 1993
In the citing paper
“On the other hand, our previous examples suggest that self-organization and emergent phenomena are as relevant as selection [382].”
From Fundamental constraints to the logic of living systems (2024) · cites this paper as [382]
In the citing paper
“Other transitions involve the jump to novel properties associated with increased network connectivity. This would be the case of the emergence of autocatalytic cycles out of random chemical reactions (figure 10c) once the number of possible reactions crosses the percolation threshold (a non-equilibrium phase transition) [381–384].”
From Fundamental constraints to the logic of living systems (2024) · cites this paper as [382]
In the citing paper
“The L-C transition line lies at the heart of the crystallization of genomes that may occur during evolutionary walks [13] in sequence space.”
From Thermodynamic Basis for the Emergence of Genomes during Prebiotic Evolution (2012) · cites this paper as [13]
In the citing paper
“It is then argued that a catalytically closed network is endowed with self-reproduction capacities, but homeostatic growth is not directly addressed (see §5.1).”
From Systems protobiology: origin of life in lipid catalytic networks (2018) · cites this paper as [37]
In the citing paper
“These will have the property of ‘catalytic closure’, whereby the formation of every molecule is endogenously catalysed.”
From Systems protobiology: origin of life in lipid catalytic networks (2018) · cites this paper as [37]
In the citing paper
“It is then shown that when a system reaches a sufficiently large diversity of molecule types, autocatalytic sets would appear spontaneously.”
From Systems protobiology: origin of life in lipid catalytic networks (2018) · cites this paper as [37]
In the citing paper
“It has been argued that computation and life require this balance to be able to compute and adapt (Langton, 1990; Kauffman, 1993).”
From Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis (2013) · cites this paper as Kauffman, 1993
In the citing paper
“As it has been proposed, adaptive systems require a high C in order to be able to cope with changes of its environment while at the same time maintaining their integrity (Langton, 1990; Kauffman, 1993).”
From Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis (2013) · cites this paper as Kauffman, 1993
In the citing paper
“Organisms “live” in extended critical phase transitions [43] or on the edge of order and chaos in the region of criticality [44,45], which disavows homeostatic stability as the core feature of living systems.”
From The Free Energy Principle: Good Science and Questionable Philosophy in a Grand Unifying Theory (2021) · cites this paper as [44]
Citations
Cited by
Sorted by citations
Items 101–130 of 130
Wieczorek, R., Adamala, K., Gasperi, T., Polticelli, F., & Stano, P. (2017) · Life · doi:10.3390/life7020019 · Cited by 53
General theory of topological explanations and explanatory asymmetry
Kostić, D. (2020) · Philosophical Transactions of the Royal Society B · doi:10.1098/rstb.2019.0321 · Cited by 53
Origin of self-replicating biopolymers: autocatalytic feedback can jump-start the RNA world
Wu, M., & Higgs, P. G. (2009) · Journal of Molecular Evolution · doi:10.1007/s00239-009-9276-8 · Cited by 52
The origin of higher taxa: macroevolutionary processes, and the case of the mammals
Kemp, T. S. (2007) · Acta Zoologica · doi:10.1111/j.1463-6395.2007.00248.x · Cited by 49
Sato, K., & Kaneko, K. (2007) · Physical Review E · doi:10.1103/physreve.75.061909 · Cited by 45
The Origins of Life: The Managed-Metabolism Hypothesis
Stewart, J. E. (2019) · Foundations of Science · doi:10.1007/s10699-018-9563-1 · Cited by 44
Statistical physics of liquid brains
Piñero, J., & Solé, R. (2019) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2018.0376 · Cited by 39
Procedural Learning and the Development and Stability of Character
Grigsby, J., & Hartlaub, G. H. (1994) · Perceptual and Motor Skills · doi:10.2466/pms.1994.79.1.355 · Cited by 38
MESOBIOTIC EMERGENCE: MOLECULAR AND ENSEMBLE COMPLEXITY IN EARLY EVOLUTION
SHENHAV, B., SEGRÈ, D., & LANCET, D. (2003) · Advances in Complex Systems · doi:10.1142/s0219525903000785 · Cited by 37
Hidden Concepts in the History and Philosophy of Origins-of-Life Studies: A Workshop Report
Mariscal, C., Barahona, A., Aubert-Kato, N., Aydinoglu, A. U., Bartlett, S., Cárdenas, M. L., Chandru, K., Cleland, C., Cocanougher, B. T., Comfort, N., et al. (2019) · Origins of Life and Evolution of Biospheres · doi:10.1007/s11084-019-09580-x · Cited by 36
Curtis, E. A., & Bartel, D. P. (2013) · RNA · doi:10.1261/rna.037572.112 · Cited by 35
Levin, M. (2025) · BioEssays · doi:10.1002/bies.202400196 · Cited by 34
Fundamental constraints to the logic of living systems
Solé, R., Kempes, C. P., Corominas-Murtra, B., De Domenico, M., Kolchinsky, A., Lachmann, M., Libby, E., Saavedra, S., Smith, E., & Wolpert, D. (2024) · Interface Focus · doi:10.1098/rsfs.2024.0010 · Cited by 34
Polymer Gard: Computer Simulation of Covalent Bond Formation in Reproducing Molecular Assemblies
Shenhav, B., Bar-Even, A., Kafri, R., & Lancet, D. (2005) · Origins of Life and Evolution of Biospheres · doi:10.1007/s11084-005-5578-z · Cited by 33
An evolutionary process without variation and selection
Gabora, L., & Steel, M. (2021) · Journal of The Royal Society Interface · doi:10.1098/rsif.2021.0334 · Cited by 23
On the applicability of Darwinian principles to chemical evolution that led to life
Perry, R. S., & Kolb, V. M. (2004) · International Journal of Astrobiology · doi:10.1017/s1473550404001892 · Cited by 24
Molecular Diversity Required for the Formation of Autocatalytic Sets
Hordijk, W., Steel, M., & Kauffman, S. A. (2019) · Life · doi:10.3390/life9010023 · Cited by 24
Self-citationHow to Solve Problems with Crowds: A Computer‐Based Simulation Model
Vuculescu, O., & Bergenholtz, C. (2014) · Creativity and Innovation Management · doi:10.1111/caim.12059 · Cited by 22
Convergent Evolutionary Paths in Biological and Technological Networks
Solé, R. V., Valverde, S., & Rodriguez-Caso, C. (2011) · Evolution: Education and Outreach · doi:10.1007/s12052-011-0346-1 · Cited by 20
The Free Energy Principle: Good Science and Questionable Philosophy in a Grand Unifying Theory
Sánchez-Cañizares, J. (2021) · Entropy · doi:10.3390/e23020238 · Cited by 16
Geisendorf, S. (2010) · Computational Economics · doi:10.1007/s10614-009-9192-4 · Cited by 15
On the Randomness of Suicide: An Evolutionary, Clinical Call to Transcend Suicide Risk Assessment
Soper, C. A., Ocejo, P. M., & Large, M. M. (2022) · Evolutionary Psychiatry · doi:10.1017/9781009030564.011 · Cited by 16
Mutations and Lethality in Simulated Prebiotic Networks
Inger, A., Solomon, A., Shenhav, B., Olender, T., & Lancet, D. (2009) · Journal of Molecular Evolution · doi:10.1007/s00239-009-9281-y · Cited by 14
Disruptive evolution: harnessing functional excess, experimentation, and science as tool
Felin, T., & Kauffman, S. (2023) · Industrial and Corporate Change · doi:10.1093/icc/dtad057 · Cited by 11
Self-citationOrigins of biological teleology: how constraints represent ends
García-Valdecasas, M., & Deacon, T. W. (2024) · Synthese · doi:10.1007/s11229-024-04705-w · Cited by 13
The Informational Substrate of Chemical Evolution: Implications for Abiogenesis
de la Escosura, A. (2019) · Life · doi:10.3390/life9030066 · Cited by 9
A path to generative artificial selves
Gabora, L., & Bach, J. (2023) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-49011-8_2 · Cited by 9
Thermodynamic Basis for the Emergence of Genomes during Prebiotic Evolution
Woo, H.-J., Vijaya Satya, R., & Reifman, J. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002534 · Cited by 6
On the positive role of noise and error in complex systems
Roli, A., Braccini, M., & Stano, P. (2024) · Systems · doi:10.3390/systems12090338 · Cited by 5
Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis
Fernandez, N., Maldonado, C., & Gershenson, C. (2013) · arXiv · doi:10.48550/arxiv.1304.1842 · Cited by 1
Metadata
- Authors
- Kauffman, S. A.
- Affiliations
- Santa Fe Institute (US)
- Corresponding author
- Kauffman, Stuart A
- ORCID
- Kauffman, Stuart A
- Publisher
- Oxford University PressNew York, NY
- Published
- 1993-06-10
- OpenAlex
- W2105291362
- Cited by
- 7,855
- References
- 0
- Citations by year
- 2026: 292 · 2025: 246 · 2024: 236 · 2023: 165 · 2022: 175 · 2021: 205 · 2020: 237 · 2019: 233 · 2018: 231 · 2017: 234 · 2016: 231 · 2015: 278 · 2014: 292 · 2013: 355 · 2012: 322
- FWCI
- 34.65
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Oxford University Press eBooks
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Systems and Dynamics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy of Biology and Scientific Explanation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- self-organization, origin of life, complex biological systems, evolutionary theory, natural selection, molecular evolution, order and chaos, adaptation, Stuart Kauffman
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review