Entropy 2010, 12(5), 1050-1070; doi:10.3390/e12051050

Functional Information: Towards Synthesis of Biosemiotics and Cybernetics

Received: 10 March 2010; in revised form: 6 April 2010 / Accepted: 21 April 2010 / Published: 27 April 2010
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Biosemiotics and cybernetics are closely related, yet they are separated by the boundary between life and non-life: biosemiotics is focused on living organisms, whereas cybernetics is applied mostly to non-living artificial devices. However, both classes of systems are agents that perform functions necessary for reaching their goals. I propose to shift the focus of biosemiotics from living organisms to agents in general, which all belong to a pragmasphere or functional universe. Agents should be considered in the context of their hierarchy and origin because their semiosis can be inherited or induced by higher-level agents. To preserve and disseminate their functions, agents use functional information - a set of signs that encode and control their functions. It includes stable memory signs, transient messengers, and natural signs. The origin and evolution of functional information is discussed in terms of transitions between vegetative, animal, and social levels of semiosis, defined by Kull. Vegetative semiosis differs substantially from higher levels of semiosis, because signs are recognized and interpreted via direct code-based matching and are not associated with ideal representations of objects. Thus, I consider a separate classification of signs at the vegetative level that includes proto-icons, proto-indexes, and proto-symbols. Animal and social semiosis are based on classification, and modeling of objects, which represent the knowledge of agents about their body (Innenwelt) and environment (Umwelt).
Keywords: functional information; biosemiotics; cybernetics; evolution; agent; origin of life; Umwelt; learning; biological complexity; biological signal processing
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MDPI and ACS Style

Sharov, A.A. Functional Information: Towards Synthesis of Biosemiotics and Cybernetics. Entropy 2010, 12, 1050-1070.

AMA Style

Sharov AA. Functional Information: Towards Synthesis of Biosemiotics and Cybernetics. Entropy. 2010; 12(5):1050-1070.

Chicago/Turabian Style

Sharov, Alexei A. 2010. "Functional Information: Towards Synthesis of Biosemiotics and Cybernetics." Entropy 12, no. 5: 1050-1070.

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