Computational evolutionary epistemology, basis and usages

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Cost and benefits of creativity within a natural selection closure

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introduction, usage, justification of chapters and their order, recommendations for optimal reading

Epistemology

chapter justification/transition

Epistemology (maybe the whole chapter is too early)
Naturalized epistemology (to link with chapter on life as information system)
Evolutionary epistemology (to compare with the more structured Stanford Philosophy article)
Multiple discovery (rather out of the blue)
Behind the Mirror: A Search for a Natural History of Human Knowledge (not enough content, not seminal enough)
Donald T. Campbell (biography probably not really required)
Computational epistemology
Information theory

transition

Information theory (difference with CS, IT, ... yet why CEE makes sense)
Shannon's source coding theorem (to justify)
Perceptual control theory
Entropy in thermodynamics and information theory
Rolf Landauer (biography probably not really required, if deleted make sure "Information is physical" is highlighted somewhere else)
Information geometry (more generally how advances in mathematics, information theory and computation should lead to radical cost reduction of the entire process, maybe emulating more closely the evolutionary process through dedicated hardware and method)
Life as an information system

transition

Negentropy
Homeostasis (eventually Cybernetics for control)
Enaction
Cell membrane
Dual inheritance theory
Machine Learning in particular for Adversarial Machine Learning and based on Computational learning theory

nothing on evolution? phylogeny?

Creativity as a survival strategy

transition

Evolutionary arms race
Red Queen's Hypothesis (still required?)
Evolution strategy
CMA-ES (why CMA-ES rather than others? nothing on the history of meta-heuristics?)
Computational creativity
Foundations for a proposal

transition

Programming paradigm
Dataflow programming
Computational phylogenetics (in particular NeXML and PhyloWS)

addition of Phylogenetic flow programming?

Conclusion
  • remarks
  • opening