LEADER 06068nam 22006375 450 001 9910726288803321 005 20230518074201.0 010 $a9783031298790$b(electronic bk.) 010 $z9783031298783 024 7 $a10.1007/978-3-031-29879-0 035 $a(MiAaPQ)EBC30546062 035 $a(Au-PeEL)EBL30546062 035 $a(OCoLC)1379845069 035 $a(DE-He213)978-3-031-29879-0 035 $a(BIP)089067323 035 $a(PPN)270614737 035 $a(EXLCZ)9926711702000041 100 $a20230518d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEssays on the Extended Evolutionary Synthesis$b[electronic resource] $eFormalizations and Expansions /$fby Rodrick Wallace 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (177 pages) 225 1 $aSpringerBriefs in Evolutionary Biology,$x2192-8142 311 08$aPrint version: Wallace, Rodrick Essays on the Extended Evolutionary Synthesis Cham : Springer International Publishing AG,c2023 9783031298783 327 $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. 330 $aFrom the ?punctuated equilibrium' of Eldrege and Gould, through Lewontin's ?triple helix' and the various visions and revisions of the Extended Evolutionary Synthesis (EES) of Laland and others, both data and theory have demanded an opening-up of the 1950's Evolutionary Synthesis that so firmly wedded evolutionary theory to the mathematics of gene frequency analysis. It can, however, be argued that a single deep and comprehensive mathematical theory may simply not be possible for the almost infinite varieties of evolutionary process active at and across the full range of scales of biological, social, institutional, and cultural phenomena. Indeed, the case history of 'meme theory' should have raised a red flag that narrow gene-centered models of evolutionary process may indeed have serious limitations. What is attempted here is less grand, but still broader than a gene-centered analysis. Following the instruction of Maturana and Varela that all living systems are cognitive, in a certain sense, and that living as a process is a process of cognition, the asymptotic limit theorems of information and control theories that bound all cognition provide a basis for constructing an only modestly deep but wider-ranging series of probability models that might be converted into useful statistical tools for the analysis of observational and experimental data related to evolutionary process. The line of argument in this series of interrelated essays proves to be surprisingly direct. 410 0$aSpringerBriefs in Evolutionary Biology,$x2192-8142 606 $aEvolution (Biology) 606 $aPsychology 606 $aModel theory 606 $aEvolutionary Biology 606 $aEvolutionary Theory 606 $aBehavioral Sciences and Psychology 606 $aModel Theory 610 $aBiology 610 $aScience 615 0$aEvolution (Biology). 615 0$aPsychology. 615 0$aModel theory. 615 14$aEvolutionary Biology. 615 24$aEvolutionary Theory. 615 24$aBehavioral Sciences and Psychology. 615 24$aModel Theory. 676 $a576.8 700 $aWallace$b Rodrick$0788350 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910726288803321 996 $aEssays on the Extended Evolutionary Synthesis$93373810 997 $aUNINA