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008			220208s2021 sz | s |||| 0|eng d
020			_a9783030894849
024	7		_a10.1007/978-3-030-89484-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH331 _b2021 EB
100			_aSharov, Alexei _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9683508
245	0	0	_aSemiotic Agency : _bScience beyond Mechanism _cby Alexei Sharov, Morten Tønnessen.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XXIII, 372 páginas) _b1 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aBiosemiotics _x1875-466X _v25
505	0		_aChapter1. Introduction -- Chapter2. Historical Overview of Developments of the Notion of Agency -- Chapter3. Human Agency -- Chapter4. Agency in Non-Human Organisms -- Chapter5. Origins of Life -- Chapter6. Conceptualizing Agency -- Chapter7. Semiosis -- Chapter8. Semiogenesis -- Chapter9 Phenomenology -- Chapter10. Composite Agency and Semiotics of Modularity -- Chapter11. Human Agency and Ecology -- Chapter12. Agentology: Crosspollination of Science and Philosophy.
520			_aThis book invites readers to embark on a journey into the world of agency encompassing humans, other organisms, cells, intracellular molecular agents, colonies, populations, ecological systems, and artificial autonomous systems. We combine mechanistic and non-mechanistic approaches in the analysis of the function and evolution of organisms, their subagents, and multi-organism systems, and in this way offer a theoretical platform for integrating biosemiotics with both natural science and the humanities/social sciences. Agents are autonomous systems that incorporate knowledge on how to make sense of their environment and use it to achieve their goals. The functions of all agents are supported by mechanisms at the lowest level; however, the explanatory power of mechanistic analysis is not sufficient for complex agents. Non-mechanistic methods rely on the goal-directedness of agents whose dynamics follow self-stabilized dynamic attractors. The properties of attractors depend on stable or slowly changing factors, and such dependencies can be interpreted as sign relations if they are adaptive in nature. Agents can replace or redirect mechanisms on demand in order to preserve their functions; for performing higher-level semiotic functions, mechanisms are thus only means. We assume that mechanism and semiosis are not mutually exclusive, and that simple agents can interpret signs mechanistically. This assumption allows us to extend semiotic analysis to all agents, including ribosomes in cells, computers, and robots. This book challenges established traditions in natural science and the humanities/social sciences: semiotics no longer appears as restricted to humans and rational thinking, and biology is no longer limited to rely exclusively on mechanistic reasoning.
988			_aSpringer_BiomedLife_2022
650		7	_2embne _9138150 _aBiología
700			_aTønnessen, Morten _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9683509
776	0	8	_iPrinted edition: _z9783030894832
776	0	8	_iPrinted edition: _z9783030894856
776	0	8	_iPrinted edition: _z9783030894863
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-89484-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b04/2022 _dz _ep _zSI