1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The World Is Not a Theorem

      ,
      Entropy
      MDPI AG

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The evolution of the biosphere unfolds as a luxuriant generative process of new living forms and functions. Organisms adapt to their environment, exploit novel opportunities that are created in this continuous blooming dynamics. Affordances play a fundamental role in the evolution of the biosphere, for organisms can exploit them for new morphological and behavioral adaptations achieved by heritable variations and selection. This way, the opportunities offered by affordances are then actualized as ever novel adaptations. In this paper, we maintain that affordances elude a formalization that relies on set theory: we argue that it is not possible to apply set theory to affordances; therefore, we cannot devise a set-based mathematical theory to deduce the diachronic evolution of the biosphere.

          Related collections

          Most cited references18

          • Record: found
          • Abstract: not found
          • Article: not found

          Autopoiesis: The organization of living systems, its characterization and a model

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A latent capacity for evolutionary innovation through exaptation in metabolic systems.

            Some evolutionary innovations may originate non-adaptively as exaptations, or pre-adaptations, which are by-products of other adaptive traits. Examples include feathers, which originated before they were used in flight, and lens crystallins, which are light-refracting proteins that originated as enzymes. The question of how often adaptive traits have non-adaptive origins has profound implications for evolutionary biology, but is difficult to address systematically. Here we consider this issue in metabolism, one of the most ancient biological systems that is central to all life. We analyse a metabolic trait of great adaptive importance: the ability of a metabolic reaction network to synthesize all biomass from a single source of carbon and energy. We use novel computational methods to sample randomly many metabolic networks that can sustain life on any given carbon source but contain an otherwise random set of known biochemical reactions. We show that when we require such networks to be viable on one particular carbon source, they are typically also viable on multiple other carbon sources that were not targets of selection. For example, viability on glucose may entail viability on up to 44 other sole carbon sources. Any one adaptation in these metabolic systems typically entails multiple potential exaptations. Metabolic systems thus contain a latent potential for evolutionary innovations with non-adaptive origins. Our observations suggest that many more metabolic traits may have non-adaptive origins than is appreciated at present. They also challenge our ability to distinguish adaptive from non-adaptive traits.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Affordances in Psychology, Neuroscience, and Robotics: A Survey

                Bookmark

                Author and article information

                Contributors
                Journal
                ENTRFG
                Entropy
                Entropy
                MDPI AG
                1099-4300
                November 2021
                November 06 2021
                : 23
                : 11
                : 1467
                Article
                10.3390/e23111467
                34828165
                55741494-6c7e-4254-bb68-f66a16d1d2ec
                © 2021

                https://creativecommons.org/licenses/by/4.0/

                History

                Comments

                Comment on this article