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Reflexivity

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Abstract

Dawkins often talks about how energy flows governed by thermodynamic laws drive evolution. The Dawkinsian concept of complexity is closely associated with the concept of entropy. Entropy is not disorder; it is energy dispersal. The maximum entropy production principle provides a deeper thermodynamic explanation for the growth of cosmic complexity. It is a principle of path selection. Driven by thermodynamic forces, evolution does design work. Dawkins often states that evolution designs organisms. He naturalizes the organic design arguments. He wonders about the values being optimized by evolution. He argues that evolution is not utilitarian; it does not aim to maximize happiness. His discussions of the axiological aspects of evolution rely on Stoic and Platonic ideas. Evolution maximizes the virtues that emerge through competitive struggle. It maximizes the arete that appears in the agon. Arete is beautiful and good. The Dawkinsian picture of our universe closely resembles a modernized Stoicism. But the Stoic picture depends on a deeper Platonic picture. For the Platonists, the universe strives to maximize vision; it strives to maximize reflexivity. Maximizing reflexivity is a core idea that organizes many Dawkinsian ideas into a coherent whole.

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Notes

  1. 1.

    ADC 84–5; AT 397.

  2. 2.

    Wright (1970), Wald (2006), and Martyushev (2013).

  3. 3.

    Kotz et al. (2009: ch. 19.2), Catling (2013: 6), Ebbing and Gammon (2017: ch. 18.2), and Tzafestas (2018: 128).

  4. 4.

    GSE 413–16.

  5. 5.

    Boltzmann defined entropy as S = k log W, where W is the macro-multiplicity of the state S. His constant k can be set to 1. Macro-multiplicity (GSE 416).

  6. 6.

    The complexity of some type is the logarithm of its arbitrary multiplicity divided by its stable multiplicity (Sect. 1.2 in Chapter 2 ). This is just the logarithm of its micro-multiplicity divided by its macro-multiplicity. But the logarithm of x divided by y is the logarithm of x minus the logarithm of y. So the complexity of any type is the logarithm of its micro-multiplicity minus the logarithm of its macro-multiplicity.

  7. 7.

    Silk (2001: 113).

  8. 8.

    Penrose (1979), Greene (2005: 173–174), and Wald (2006).

  9. 9.

    GSE 414–16.

  10. 10.

    BW 94; GSE 412–6; ADC 84–5.

  11. 11.

    Improbability pump (GSE 416). Blessed (UR 5).

  12. 12.

    Murdoch (1992: chs. 18 and 19).

  13. 13.

    Swenson (2006: 318).

  14. 14.

    MEPP (Martyushev and Seleznev 2006).

  15. 15.

    Swenson (2009: 334).

  16. 16.

    Rescher states that “in the virtual competition for existence among alternatives it is the comparatively best that is bound to prevail” (2010: 33–34). The MEPP says the path that produces entropy the fastest will usually prevail.

  17. 17.

    Steinhart (2018) surveys evidence for the MEPP.

  18. 18.

    The MEPP has been confirmed in many examples of biochemical and biological self-organization. The MEPP accurately predicts the evolution of beta-lactamase enzymes (Dobovisek et al. 2011) and the evolution of the enzyme ATP synthase (Dewar et al. 2006). Proton pumps in photosynthesis operate produce entropy at rates very close to the maximum (Juretic and Zupanovic 2003). It correctly predicts bacterial metabolism (Unrean and Srienc 2012). Replicator systems evolve towards states in which entropy production is maximized (Martin and Horvath 2013). A model based on MEPP does well at predicting evolutionary trends (Skene 2015).

  19. 19.

    GSE 236.

  20. 20.

    England (2013, 2014, 2015).

  21. 21.

    AT 699.

  22. 22.

    Dewar (2006).

  23. 23.

    Steinhart (2018).

  24. 24.

    Schneider and Kay (1994).

  25. 25.

    Entropic forces drive self-organization (Steinhart 2018). They drive ecological competition (Martin and Horvath 2013; Yen et al. 2014; Chapman et al. 2016).

  26. 26.

    BW 94; ADC 84–5; GSE 413–6; AT 397; SITS 337.

  27. 27.

    BW ch. 3; CMI ch. 6; ADC ch. 2.2; AT 676.

  28. 28.

    ADC 100–2, 210.

  29. 29.

    Bennett (1988, 1990).

  30. 30.

    The slow-growth law states that “deep objects cannot be quickly produced from shallow ones by any deterministic process, nor with much probability by a probabilistic process, but can be produced slowly” (Bennett 1988: 1).

  31. 31.

    Machta (2011: 037111–037116).

  32. 32.

    One proxy for the logical depth of some thing is the time it takes to decompress a compressed description of it (Zenil and Delahaye 2010). Another proxy is the free energy rate density of Chaisson (2006). This is the amount of free energy passing through one gram of matter of the thing in one second.

  33. 33.

    For the great chain, see Lovejoy (1936). For the Stoic great chain, see Cicero (On the Nature of the Gods, II.33–5).

  34. 34.

    ADC 208; GSE 155–9.

  35. 35.

    Anselm (Monologion, ch. 4).

  36. 36.

    Leibniz (1697), Leibniz (Monadology, sec. 58), Rutherford (1995: 13, 23, 35), and Rescher 1979: 28–31).

  37. 37.

    Dennett (1995: 511–513).

  38. 38.

    Values of organisms (CMI ch. 3; ADC ch. 5.4; AT 681–9). Adaptive fitness (ADC 208).

  39. 39.

    Intrinsic value is complexity (Steinhart 2014: secs. 72–74).

  40. 40.

    Carl Sagan (1980), Cosmos, Episode 1, “The Shores of the Cosmic Ocean.”

  41. 41.

    Genes model past environments (UR ch. 10). Brains model current environments (UR ch. 11). Brains model the universe (UR 312).

  42. 42.

    Computers simulate quantum mechanics (Gattringer and Lang 2009). Millennium Simulation (Springel et al. 2005). Illustris Simulation (Vogelsberger et al. 2014).

  43. 43.

    Steinhart (2012).

  44. 44.

    Dyson (1985), Tipler (1995), and Kurzweil (2005).

  45. 45.

    Peirce (1965) presents an evolutionary cosmology (6.33). He says the universe began in a state of chaos (1.409, 6.214, 6.215, 6.33, 8.317). Through the self-negation of its nothingness, this chaos starts to self-organize (6.217–20). Through continued self-relation, self-reinforcing regularities emerge (1.409, 6.490, 8.317). Time and space emerge (1.411–16, 6.214, 8.318). Laws of nature emerge (1.412, 6.13, 7.513–15). The flow of cosmic energy can produce a branching tree of universes (1.412). The streams of cosmic activity converge to an infinite omega point (1.409, 6.33, 8.317). The process of cosmic evolution is driven by the imperative to maximize reflexivity.

  46. 46.

    Cirkovic (2003).

  47. 47.

    SITS 272.

  48. 48.

    Creative volition (CMI 16–17). Imagination (CMI 19). Foresight (BW 5).

  49. 49.

    Designoid versus design (CMI ch. 1). Illusion of design (CMI 7, 25). Cumulative finding (CMI 28). Knives (CMI 11). Design is not finding (CMI 28).

  50. 50.

    Designoid organs (ADC 225–6; GD 24, 139, 143, 168, 188; GSE 21, 334, 371; AT 633). Like pots of pitcher plants (CMI 12) and Venus fly traps (CMI 14). Designoid non-human artifacts (CMI 6–18). Designoid ecosystems (ADC 225–6).

  51. 51.

    BW 21; CMI 7, 25.

  52. 52.

    Design is not cumulative (GD 169). But in fact it accumulates (Basalla 1988; Temkin and Eldredge 2007; Brey 2008). Lenses (Enoch 1998). Eyeglasses (Rubin 1986).

  53. 53.

    Technologies that grow through cumulative finding include early artifacts (Derex et al. 2019); watches (Bruton 1979); inventions by Thomas Edison (Simonton 2015); airplanes (Anderson 2002); and computers (Essinger 2004; Dyson 2012).

  54. 54.

    Dennett (2004) and Simonton (2010).

  55. 55.

    Johnson-Laird (2005).

  56. 56.

    Temkin and Eldredge (2007).

  57. 57.

    GSE 407.

  58. 58.

    Darwinism in our brains (UR 8). Design is cumulative finding (AT 688).

  59. 59.

    Evolution designs things (EP 59–71). Things designed by evolution include: ancestral bodies (SG 26, 261); alarm calls of birds (SG 170); feathered wings (EP 68); worker ants (EP 128); eyes (EP 261; ROE 78); bodies of fish (ROE 93). Electronic searches of his texts will reveal dozens of other examples.

  60. 60.

    Evolution designs things (BCD 323). Brains run Darwinian design algorithms (IA 104; 2015: 15). Airplanes (AT 688).

  61. 61.

    Musical instruments (Temkin and Eldredge 2007). Computers (Mataxis 1962: 63).

  62. 62.

    Dennett (1995: 69; his italics).

  63. 63.

    Basalla (1988), Dyson (1997), Temkin and Eldredge (2007), and Brey (2008).

  64. 64.

    Kelly (2010).

  65. 65.

    BW 4–6; GD ch. 4; etc.

  66. 66.

    GD 96–99.

  67. 67.

    Rejecting step three (GD 145) leads to a spectacular error (GD 169).

  68. 68.

    EP 449; SITS 120–1; etc.

  69. 69.

    BW 316–7.

  70. 70.

    Evolution computes (CMI 72, 326; ADC 12) and has memory (UR 257; GSE 405–8). It increases value (AT 681–9). Evolution learns (Partner et al. 2008; Watson and Szathmary 2016; Watson et al. 2016; Kouvaris et al. 2017).

  71. 71.

    Dawkins rejects the Lovelockian Gaia (EP 357–61; CMI 268; UR 222–4; SITS 153). Perhaps a more scientific pagan might devise a better Gaia (EP 360; ADC 173).

  72. 72.

    Nietzsche (The Will to Power, sec. 796).

  73. 73.

    Divine Engineer (ROE 104–5) is not utilitarian (ROE 103–4, 131–2; GSE 390–5).

  74. 74.

    Maximize genetic replication (ROE 131; GSE 392). Maximizing dramatic beauty (SG 78; ROE 119–20; UR 219–20). Thrill of the chase (GSE 384; GD 161). Neither cruel nor kind (ROE 95–6, 131; ADC 8–9). Deeper than its utility (UR 5–6, 21–4).

  75. 75.

    Dawkins proximately endorses utilitarianism (e.g. ADC ch. 1.3; SITS 301–8). But his ultimate axiology assumes Stoic and Platonic values deeper than utility.

  76. 76.

    UR xi, 151; TL 73–4; SSSF.

  77. 77.

    Nietzsche, The Will to Power, sec. 1052.

  78. 78.

    Maximize arete (ADC ch. 5.4; CMI ch. 3; ROE ch. 4). Mutation (CMI 80–5). Survival of the stable (SG 12). Pushing towards improvement (CMI 85; ADC ch. 5.4). Wolves with elite genes (CMI 86). Eyes improve (CMI 163). Natural selection improves organisms (BW 305, his italics; AT 681–9). Good at what they do (CMI 90).

  79. 79.

    Arms races (EP ch. 4; BW ch. 7; ADC ch. 5.4; AT 683–9; etc.). Teeth and toxins (AT 685). Evolution of evolvability (ADC ch. 5.4; EE). Adaptive complexes (ADC 206).

  80. 80.

    SG xiv; GD ch. 6; GSE 62; AT 458–62, etc.

  81. 81.

    SG 201, 331; ADC 9–11; GD 246; SITS 39–40.

  82. 82.

    SG ch. 12; GD ch. 6.

  83. 83.

    Misunderstands entropy (ADC 84–5; AT 397). Objects to vital forces (ROE 18; ADC chs. 1.6, 3.3; SITS 4, 213).

  84. 84.

    Some physicists speculate that gravity is an entropic force (Verlinde 2016). Or that all fundamental forces are entropic (Dil and Yumak 2018). Spiritual naturalism does not depend on these speculations.

  85. 85.

    Steinhart (2018).

  86. 86.

    Kelly (2010: 63).

  87. 87.

    Memes (SG ch. 11); designoid (CMI ch. 1); theorum (GSE ch. 1).

  88. 88.

    Many entropic forces acting on molecules and molecular assemblies have strengths of a few kT per nanometer, thus producing forces in the piconewton range (Marenduzzo et al. 2006). So axiotropy acts with similar strengths. It changes the microstates of systems. But changes in microstates scale up to become changes in macrostates.

  89. 89.

    Anscombe says that machinery “should or ought to be oiled, in that running without oil is bad for it, or it runs badly without oil” (1958: 6). Universes are machines that can run well or badly. They ought to have axiotropy, in that they run badly without it.

  90. 90.

    Amor fati (ADC 12–3; GD 20, 403–5; AK 188). Serenity (GSE 401). Austere poetry (EP 258). Indifference is more beautiful (UR xi, 41–2, 118). Valuable spectacle (UR 2–6; GD 404–20). Vision makes life worth living (UR x, 313). Scientific truth is too beautiful (1995c; see UR 114–21). Aesthetic argument (FH 99).

  91. 91.

    Plotinus (Enneads, 2.3.18, 3.2.15–18, 3.6.2).

  92. 92.

    Nietzsche (The Birth of Tragedy, sec. 5).

  93. 93.

    Astrology is ugly (1995c; UR 118). Crystals (ADC 46). Religions impoverish us (AT 700). True reverence (AT 700). Vision is a blessing (UR 5).

  94. 94.

    Plato (Republic, 508b–520a).

  95. 95.

    Plato (Theaetetus, 176a5–b2).

  96. 96.

    Plotinus (Enneads, 3.8).

  97. 97.

    UR 312.

  98. 98.

    Just as organisms run entelechies, so universes run entelechies. By this analogy, much of Foot’s (2001: chs. 2 and 3) theory of natural goods and duties transfers to universes.

  99. 99.

    If some thing x has a duty or imperative to F, then x ought to F; this is a deontic de re property. It is axiomatic that ought implies can. So the deontic de re implies the modal de re property that x possibly Fs. If x possibly Fs, then there exists some possible y such that y is a version of x and y does F. Since the deontic property entails the modal property, and the modal points beyond x, the deontic points beyond x.

  100. 100.

    EP 384; GD 173–6, 185; GSE 426; MR 165; AT 2–4; SITS 272.

  101. 101.

    GD 51, chs. 7–9.

  102. 102.

    For Plato, God is the Demiurge of the Timaeus, identified with the Socratic Nous. It is not the Good. See Murdoch (1992: 37–8, 343, 475–7); Benitez (1995). Plotinus identified God with the divine mind, which is below the Good.

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Steinhart, E. (2020). Reflexivity. In: Believing in Dawkins. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-43052-8_3

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