000			05312nam a2200349 i 4500
999			_c398895 _d398895
001			398895
003			ES-MaUEC
005			20240316102345.0
006			a|||| o|||| 00| 0
007			cr nn 008mamaa
008			230518s2023 sz | o |||| 0|eng d
020			_a9783031298790
024	7		_a10.1007/978-3-031-29879-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH371.3 .M37 _b2023 EB
100	1		_aWallace, Rodrick _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _999775
245	1	0	_aEssays on the Extended Evolutionary Synthesis : _bFormalizations and Expansions _cby Rodrick Wallace
250			_a1st ed. 2023
264		1	_aCham _bSpringer Nature Switzerland _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aSpringerBriefs in Evolutionary Biology _x2192-8142
505	0		_a1 On the majortransitions -- 1.1 Introduction -- 1.2 Symmetry and symmetry-breaking -- 1.3 Resources -- 1.4 Cognition in non ergodic systems -- 1.5 Theprebiotic`bigbang' -- 1.6 Biological`recombination transparency' -- 1.7 A simple application -- 1.8 Specialization and cooperation: multiple workspaces -- 1.9 Discussion -- 1.10 Mathematical Appendix -- 1.11 References -- 2 On the Extended Evolutionary Synthesis -- 2.1 Introduction -- 2.2 First notions -- 2.3 The basic theory -- 2.4 Examples -- 2.5 More theory:selection pressureas shadowprice -- 2.6 Extending the models -- 2.7 Discussion -- 2.8 Mathematical Appendix -- 2.9 References -- 3O On regulation -- 3.1 Introduction -- 3.2 Theory -- 3.3 Applications -- 3.4 Discussion -- 3.5 Mathematical Appendix -- 3.6 References -- 4 Punctuated regulation as an evolutionary mechanism -- 4.1 Introduction -- 4.2 Fisher Zeros reconsidered -- 4.3 Extinction I:Simple noise-induced transitions -- 4.4 Extinction II: More complicatednoise-induced transitions -- 4.5 Extinction III: Environmental shadow price -- 4.6 Discussion -- 4.7 Mathematical Appendix -- 4.8 References -- 5 Institutional dynamics under selection pressure and uncertainty -- 5.1 Introduction -- 5.2 A Rate Distortion Theorem model of control -- 5.3 Selection pressure dynamics -- 5.4 Destabilization by delay -- 5.5 Extending the Data Rate Theorem -- 5.6 Moving on -- 5.7 Reconsideringcognition\textit{AnSich -- 5.8 Changingtheviewpoint -- 5.9 Discussion -- 5. References -- 6O n`Speciation':Fragmentsizeininformationsystemphasetransitions -- 6.1 Introduction -- 6.2`Simple'phasetransition -- 6.3 Phasetransitionsinnetworksofinformation-exchangemodules -- 6.4 Discussion -- 6.5 MathematicalAppendix:`Biological'renormalizations -- 6.6 References -- 7 Adaptingcognitionmodelstobiomolecularcondensatedynamics -- 7.1 Introduction -- 7.2 Resources -- 7.3 Cognition -- 7.4 PhasetransitionsI:Fisherzeros -- 7.5 Cognitive`reactionrate' -- 7.6 PhasetransitionsII:Signaltransductionandnoise -- 7.7 Discussion -- 7.8 MathematicalAppendix:Groupoids -- 7.9 References -- 8 EvolutionaryExaptation:Sharedinterbrainactivityinsocialcommunication -- 8.1 Introduction -- 8.2 Correlation -- 8.3 Cognition -- 8.4 Dynamics -- 8.5 Cognitionrate -- 8.6 Anexample -- 8.7 Cooperation:Multipleworkspaces -- 8.8 Networktopologyisimportant -- 8.9 Timeandresourceconstraintsareimportant -- 8.10 Furthertheoreticaldevelopment -- 8.11 Discussion -- 8.12 MathematicalAppendix -- 8.13 References -- 9 Afterward.
520			_aFrom the 'punctuated equilibrium' of Eldrege and Gould, through Lewontin's 'triple helix' and the various visions and revisions of the Extended Evolutionary Synthesis (EES) of Laland and others, both data and theory have demanded an opening-up of the 1950's Evolutionary Synthesis that so firmly wedded evolutionary theory to the mathematics of gene frequency analysis. It can, however, be argued that a single deep and comprehensive mathematical theory may simply not be possible for the almost infinite varieties of evolutionary process active at and across the full range of scales of biological, social, institutional, and cultural phenomena. Indeed, the case history of 'meme theory' should have raised a red flag that narrow gene-centered models of evolutionary process may indeed have serious limitations. What is attempted here is less grand, but still broader than a gene-centered analysis. Following the instruction of Maturana and Varela that all living systems are cognitive, in a certain sense, and that living as a process is a process of cognition, the asymptotic limit theorems of information and control theories that bound all cognition provide a basis for constructing an only modestly deep but wider-ranging series of probability models that might be converted into useful statistical tools for the analysis of observational and experimental data related to evolutionary process. The line of argument in this series of interrelated essays proves to be surprisingly direct.
988			_aSpringer_BiomedLife_2023
650		7	_2embne _9138470 _aEvolución _xModelos matemáticos
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-29879-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2024 _dz _eb _zSI