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  1. Semiosis and Information: Meeting the Challenge of Information Science to Post-Reductionist Biosemiotics.Arran Gare - 2020 - Biosemiotics 13 (3):327-346.
    The concept of information and its relation to biosemiotics is a major area of contention among biosemioticians. Biosemioticians influenced by von Uexküll, Sebeok, Bateson and Peirce are critical of the way the concept as developed in information science has been applied to biology, while others believe that for biosemiotics to gain acceptance it will have to embrace information science and distance biosemiotics from Peirce’s philosophical work. Here I will defend the influence of Peirce on biosemiotics, arguing that information science and (...)
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  • The Fundamental Problem of the Science of Information.Jaime F. Cárdenas-García & Tim Ireland - 2019 - Biosemiotics 12 (2):213-244.
    The concept of information has been extensively studied and written about, yet no consensus on a unified definition of information has to date been reached. This paper seeks to establish the basis for a unified definition of information. We claim a biosemiotics perspective, based on Gregory Bateson’s definition of information, provides a footing on which to build because the frame this provides has applicability to both the sciences and humanities. A key issue in reaching a unified definition of information is (...)
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  • Natural Code of Subjective Experience.Ilya A. Surov - 2022 - Biosemiotics 15 (1):109-139.
    The paper introduces mathematical encoding for subjective experience and meaning in natural cognition. The code is based on a quantum-theoretic qubit structure supplementing classical bit with circular dimension, functioning as a process-causal template for representation of contexts relative to the basis decision. The qubit state space is demarcated in categories of emotional experience of animals and humans. Features of the resulting spherical map align with major theoreties in cognitive and emotion science, modeling of natural language, and semiotics, suggesting several generalizations (...)
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