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Biological inspiration in the design of computing machines could allow the creation of new machines with promising characteristics such as fault-tolerance, self-replication or cloning, reproduction, evolution, adaptation and learning, and growth.
One can, of course, tell a story about some such third factor: perhaps the 'evolutionary aim', survival and reproduction, also happens to be good, so that in giving us moral beliefs that promoted survival and reproduction evolution also happened to give us moral belief dispositions that are largely accurate (Enoch 2011).
This optimization results in more efficient degradation of incoming (solar) energy through autocatalytic, self-assembly, reproduction, evolution and adaptation processes acting on molecular structures, all of which enhance the order of the system to decrease energy gradients and oppose disequilibrium (in line with second law of thermodynamics).
We conclude that under (random) sexual reproduction evolution goes to part of the genotype phenotype landscape where genotypic differences underlying phenotypic differentiation are restricted.
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Later, he made significant contributions to public health through his research into the population structure, mode of reproduction, and evolution of parasitic protozoans.
As he ponders the connections between energy, information, organisation, reproduction and evolution of new constraints, he spells out his own intuitions while admitting: "I find it delightful that we hardly have the concepts to state these issues".
James Griesemer has proposed the reproducer as a fundamental notion for thinking about reproduction in evolution.
Genetic algorithms are stochastic search approaches based on randomized operators, such as selection, crossover and mutation, inspired by the natural reproduction and evolution of the living creatures.
And how does that adult body produce yet another body?"), which can then be subdivided into further categories, such as differentiation, morphogenesis, growth, reproduction, regeneration, evolution, and environmental regulation.
The Dutch biology curriculum reform project (Boersma et al. 2007), for example, has chosen a number of system concepts that can be applied to all biological systems on all organizational levels: the biological unit, self-regulation/self-organization, interaction, reproduction, and evolution.
The Information View (Brooks and Wiley 1988): irreversibility in biological systems (reproduction, ontogeny, evolution) results from entropic increases in biological information, constrained by intrinsic (inheritance system informational dynamics Nature of the Organism) and extrinsic (selection Nature of the Conditions) cohesive properties.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com