Evolution of biological complexity
Copyright policy )Evolution of biological complexity
To make a case for or against a trend in the evolution of complexity in biological evolution, complexity needs to be both rigorously defined and measurable. A recent information-theoretic (but intuitively evident) definition identifies genomic complexity with the amount of information a sequence stores about its environment. We investigate the evolution of genomic complexity in populations of digital organisms and monitor in detail the evolutionary transitions that increase complexity. We show that, because natural selection forces genomes to behave as a natural “Maxwell Demon,” within a fixed environment, genomic complexity is forced to increase.
- Michigan State University United States
- California Institute of Technology United States
- University of California at Los Angeles United States
- University of California Los Angeles United States
- University of California, Los Angeles United States
FOS: Computer and information sciences, 570, Entropy, Information Theory, FOS: Physical sciences, Computational Complexity (cs.CC), Evolution, Molecular, Physics - Biological Physics, Quantitative Biology - Populations and Evolution, Biology, Condensed Matter - Statistical Mechanics, Genome, Models, Statistical, Models, Genetic, Statistical Mechanics (cond-mat.stat-mech), Fossils, Populations and Evolution (q-bio.PE), DNA, Biological Evolution, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Computer Science - Computational Complexity, Biological Physics (physics.bio-ph), Physics - Data Analysis, Statistics and Probability, FOS: Biological sciences, Adaptation and Self-Organizing Systems (nlin.AO), Data Analysis, Statistics and Probability (physics.data-an)
FOS: Computer and information sciences, 570, Entropy, Information Theory, FOS: Physical sciences, Computational Complexity (cs.CC), Evolution, Molecular, Physics - Biological Physics, Quantitative Biology - Populations and Evolution, Biology, Condensed Matter - Statistical Mechanics, Genome, Models, Statistical, Models, Genetic, Statistical Mechanics (cond-mat.stat-mech), Fossils, Populations and Evolution (q-bio.PE), DNA, Biological Evolution, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Computer Science - Computational Complexity, Biological Physics (physics.bio-ph), Physics - Data Analysis, Statistics and Probability, FOS: Biological sciences, Adaptation and Self-Organizing Systems (nlin.AO), Data Analysis, Statistics and Probability (physics.data-an)
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