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Alexei A. Sharov [17]Alexei Sharov [9]
  1.  60
    Protosemiosis: Agency with Reduced Representation Capacity.Alexei A. Sharov & Tommi Vehkavaara - 2015 - Biosemiotics 8 (1):103-123.
    Life has semiotic nature; and as life forms differ in their complexity, functionality, and adaptability, we assume that forms of semiosis also vary accordingly. Here we propose a criterion to distinguish between the primitive kind of semiosis, which we call “protosemiosis” from the advanced kind of semiosis, or “eusemiosis”. In protosemiosis, agents associate signs directly with actions without considering objects, whereas in eusemiosis, agents associate signs with objects and only then possibly with actions. Protosemiosis started from the origin of life, (...)
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  2.  31
    Phenomenology and Biosemiotics.Morten Tønnessen, Timo Maran & Alexei Sharov - 2018 - Biosemiotics 11 (3):323-330.
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  3.  35
    Evolution of Natural Agents: Preservation, Advance, and Emergence of Functional Information.Alexei A. Sharov - 2016 - Biosemiotics 9 (1):103-120.
    Biological evolution is often viewed narrowly as a change of morphology or allele frequency in a sequence of generations. Here I pursue an alternative informational concept of evolution, as preservation, advance, and emergence of functional information in natural agents. Functional information is a network of signs that are used by agents to preserve and regulate their functions. Functional information is preserved in evolution via complex interplay of copying and construction processes: the digital components are copied, whereas interpreting subagents together with (...)
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  4.  46
    Comprehending the Semiosis of Evolution.Alexei Sharov, Timo Maran & Morten Tønnessen - 2016 - Biosemiotics 9 (1):1-6.
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  5.  27
    Evolutionary Biosemiotics and Multilevel Construction Networks.Alexei A. Sharov - 2016 - Biosemiotics 9 (3):399-416.
    In contrast to the traditional relational semiotics, biosemiotics decisively deviates towards dynamical aspects of signs at the evolutionary and developmental time scales. The analysis of sign dynamics requires constructivism to explain how new components such as subagents, sensors, effectors, and interpretation networks are produced by developing and evolving organisms. Semiotic networks that include signs, tools, and subagents are multilevel, and this feature supports the plasticity, robustness, and evolvability of organisms. The origin of life is described here as the emergence of (...)
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  6.  20
    Consciousness and Learning from the Biosemiotic Perspective.Alexei A. Sharov - 2022 - Biosemiotics 15 (3):483-490.
  7.  38
    Towards Synthesis of Biology and Semiotics.Alexei Sharov, Timo Maran & Morten Tønnessen - 2015 - Biosemiotics 8 (1):1-7.
    The journal Biosemiotics was envisioned by its founding editor, Marcello Barbieri, as a major periodical for interdisciplinary papers that integrate biology and semiotics. Since 2008 the journal has published 21 issues, including special issues on crucial problems such as the semiotics of perception, origins of mind, code biology, biohermeneutics, biosemiotic analysis of information and chance. The impact factor of the journal does not fully describe the significance of this journal, because the discipline of biosemiotics is young and remains in its (...)
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  8.  36
    Umwelt-theory and pragmatism.Alexei Sharov - 2001 - Semiotica 2001 (134).
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  9. Biosemiotics: A functional-evolutionary approach to the analysis of the sense of information.Alexei A. Sharov - forthcoming - Biosemiotics: The Semiotic Web.
     
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  10.  15
    The origin and evolution of signs.Alexei A. Sharov - 1999 - Semiotica 127 (1-4):521-536.
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  11.  30
    The First Decade of Biosemiotics.Timo Maran, Alexei Sharov & Morten Tønnessen - 2017 - Biosemiotics 10 (3):315-318.
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  12.  21
    Composite Agency: Semiotics of Modularity and Guiding Interactions.Alexei A. Sharov - 2017 - Biosemiotics 10 (2):157-178.
    Principles of constructivism are used here to explore how organisms develop tools, subagents, scaffolds, signs, and adaptations. Here I discuss reasons why organisms have composite nature and include diverse subagents that interact in partially cooperating and partially conflicting ways. Such modularity is necessary for efficient and robust functionality, including mutual construction and adaptability at various time scales. Subagents interact via material and semiotic relations, some of which force or prescribe actions of partners. Other interactions, which I call “guiding”, do not (...)
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  13.  38
    Towards a Biosemiotic Theory of Evolution.Alexei A. Sharov - 2021 - Biosemiotics 14 (1):101-105.
    The target article by Denis Noble is an excellent overview of the illusions of the Modern Synthesis that still remains in textbooks despite of the recent criticism. Overcoming these illusions shows the active role of organisms in the evolutionary process and accounts for additional mechanisms such as plasticity of embryo development, epigenetic heredity, multilevel selection, Baldwin effect, and niche construction, which are components of the Extended Evolutionary Synthesis. Adding these mechanisms is certainly an important step forward, but I argue that (...)
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  14. From cybernetics to semiotics in biology.Alexei A. Sharov - 1998 - Semiotica 120 (3-4):403-419.
     
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  15.  58
    Constructive Aspects of Biosemiotics.Tommi Vehkavaara & Alexei Sharov - 2017 - Biosemiotics 10 (2):145-156.
    We argue that constructive approaches in epistemology and systems science, which are focused on normativity, knowledge, and communication of organisms and emphasize the primacy of activity, self-construction, and niche-construction in the cognitive agents, fit naturally to the both methodology and theory of biosemiotics. In particular, constructive view was already present in the works of the major precursors of biosemiotics: von Uexküll and Bateson, and to some extent Peirce. Biosemiotics has a chance to function as a mediating field in the theoretical (...)
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  16.  30
    Role of Utility and Inference in the Evolution of Functional Information.Alexei A. Sharov - 2009 - Biosemiotics 2 (1):101-115.
    Functional information means an encoded network of functions in living organisms from molecular signaling pathways to an organism’s behavior. It is represented by two components: code and an interpretation system, which together form a self-sustaining semantic closure. Semantic closure allows some freedom between components because small variations of the code are still interpretable. The interpretation system consists of inference rules that control the correspondence between the code and the function (phenotype) and determines the shape of the fitness landscape. The utility (...)
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  17. Towards the semiotic paradigm in biology.Alexei A. Sharov - 1998 - Semiotica 120:403-19.
     
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  18.  29
    Organisms Reshape Sign Relations.Alexei Sharov, Timo Maran & Morten Tønnessen - 2015 - Biosemiotics 8 (3):361-365.
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  19. Pragmatism and Umwelt-theory.Alexei Sharov - forthcoming - Semiotica.
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  20.  48
    Hierarchical approach to replication and selection.Alexei A. Sharov - 1999 - Behavioral and Brain Sciences 22 (5):905-906.
    The major merit of Rose's book is the elaboration of the idea of multilevel causation in different explanatory languages. Yet Rose's critique of “ultra-Darwinism” is not convincing. Rose argues that activity and self-replication are properties of organisms rather than genes, which contradicts his idea of multilevel causation. Also, Rose fails to develop the concept of multilevel selection.
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  21. (1 other version)Minimal mind.Alexei A. Sharov - 2012 - In Liz Stillwaggon Swan (ed.), Origins of mind. New York: Springer.
     
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  22.  23
    Pragmatics and biosemiotics.Alexei A. Sharov - 2002 - Sign Systems Studies 30 (1):245-257.
    Pragmatics, i.e., a system of values (or goals) in agent behavior, marks the boundary between physics and semiotics. Agents are defined as systems that are able to control their behavior in order to increase their values. The freedom of actions in agents is based on the distinction between macrocharacters that describe the state or stage, and micro-characters that are interpreted as memory. Signs are arbitrarily established relations between micro- and macro-characters that are anticipated to be useful for agents. Three kinds (...)
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  23.  16
    Pragmaatika ja biosemiootika. Kokkuvõte.Alexei A. Sharov - 2002 - Sign Systems Studies 30 (1):258-258.
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