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  1. Principles of Information Processing and Natural Learning in Biological Systems.Predrag Slijepcevic - 2021 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 52 (2):227-245.
    The key assumption behind evolutionary epistemology is that animals are active learners or ‘knowers’. In the present study, I updated the concept of natural learning, developed by Henry Plotkin and John Odling-Smee, by expanding it from the animal-only territory to the biosphere-as-a-whole territory. In the new interpretation of natural learning the concept of biological information, guided by Peter Corning’s concept of “control information”, becomes the ‘glue’ holding the organism–environment interactions together. The control information guides biological systems, from bacteria to ecosystems, (...)
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  • Semiosis and Bio-Mechanism: towards Consilience.Rasmus Gahrn-Andersen & Stephen J. Cowley - 2018 - Biosemiotics 11 (3):405-425.
    In biosemiotics, some oppose the study of sign relations to empirical work on bio-mechanisms. Urging consilience between these views, we show the value of Alain Berthoz’s concept of simplexity. Its heuristic power is to present molecules, cells, organisms and communities as using tricks to self-fabricate by agglomerating ‘simplex’ bio-mechanisms. Their properties enable living systems to self-sustain, adapt and, at best, to thrive. But simplexity also empowers agents to engage with their surroundings in novel ways. Life thus not only generates know-how (...)
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  • Evolutionary epistemology: Reviewing and reviving with new data the research programme for distributed biological intelligence.Predrag Slijepcevic - 2018 - Biosystems 163:23-35.
    Numerous studies in microbiology, eukaryotic cell biology, plant biology, biomimetics, synthetic biology, and philosophy of science appear to support the principles of the epistemological theory inspired by evolution, also known as “Evolutionary Epistemology”, or EE. However, that none of the studies acknowledged EE suggests that its principles have not been formulated with sufficient clarity and depth to resonate with the interests of the empirical research community. In this paper I review evidence in favor of EE, and also reformulate EE principles (...)
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