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    Life Finds a Way

    Page 25
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      local minima

      description/examples, 122–123

      See also combinatorial optimization problems

      location

      determination (landscapes), 105–107

      vehicle routing problems, 119

      Loewi, Otto, 161

      London Symphony Orchestra, 138

      Lorca, Federico Garcia, 176

      LSD, 165, 166

      Lynch, Michael, 78

      Maar, Dora, 142

      McCartney, Paul, 161

      Macintosh computer, 165, 172

      McKim, Robert, 164

      Mandarte Island, 60

      mandibular prognathism/consequences, 54, 55

      Manx cats, 59–60

      Mark Twain, 173

      meditation, 163

      Melomics, 138

      Mendel, Gregor

      pea plants genetics and, 28, 150

      recognition and, 150

      Mendeleev, Dmitri, 161

      metaphor and creativity, 175–176, 190

      microarray technology

      description/functions, 50–51

      experiment examples, 51

      fitness landscapes and, 50–51

      mimicry, 26–27

      mind-wandering

      creativity and, 161–163, 164

      description/examples, 161–163

      mindfulness vs., 163

      mindfulness vs. mind-wandering, 163

      mobile DNA

      damage and, 76–77

      description, 75–76, 77

      genetic drift and, 77

      natural selection and, 76–77

      regulatory sequences and, 76

      molecular fingerprint and plants, 58

      Morgan, Thomas Hunt

      chromosomes/genetic mapping and, 33

      “fly boys” and, 33

      fruit fly experiments and, 31, 32, 33

      genetic complexity and, 32

      moths, peppered

      adaptive landscapes and, 17–19, 18 (fig.), 19 (fig.), 28–29, 29 (fig.)

      air pollution effects, 14–15, 17–19, 18 (fig.), 19 (fig.)

      allele and, 14–15, 28

      antennae/types and, 29–30

      description, 13

      genotypes and, 28

      phenotypes and, 28

      “survival of the fittest” and, 13–15, 17–19, 18 (fig.), 19 (fig.)

      typica/carbonaria types explained, 28

      wing color types/wing size/antenna size and, 28–30, 29 (fig.)

      Mozart, 2–3, 135, 137, 140, 149

      mule as hybrid, 91

      Müller, Fritz, 26

      Müllerian mimicry, 26–27

      Mullis, Kary, 165

      music composition

      computers and, 136–138

      limited amount/value and, 136

      “recombinant music,” 137

      musical dice game, 135–136

      mutations

      adaption/adaptive landscapes and, 18–19

      alleles and, 18

      as blind, 18

      complexity and, 35–36

      DNA typos and, 35–36

      moths example and, 17, 18

      point mutations, 35, 120

      processes producing, 35

      understanding and, 144

      See also specific examples

      Narrative Science, 138–139

      National Academy of Sciences, US, 172–173

      National Institutes of Health, 210

      National Inventors Hall of Fame, 147

      National Science Foundation, 201

      natural selection

      adaption/adaptive landscapes and, 18–19, 18 (fig.), 19 (fig.)

      Darwin and, 4, 12

      descriptions, 16, 37–38, 127–128

      genetic drift “relationship” and, 79

      getting stuck/dead-ends and, 6, 16, 38, 42, 43, 47, 52, 69, 91, 110, 122, 159–160

      local peak and, 38

      as not enough (evolution) and, 4, 6, 16, 37, 60

      overcoming uphill pull and population size/time, 67–68

      as uphill, 5 (fig.), 6, 37–38, 40, 42, 43, 52, 60, 66, 79, 81, 83, 109, 114, 121, 152, 164

      Nature, 195

      nautilus, 21–22

      See also ammonites

      Newcomen, Thomas, 147–148

      Newton, Isaac, 132–133, 149, 162

      Nobel Prize/laureates, 33, 103, 148, 150, 160, 161, 165, 169, 170, 172, 173, 193, 197, 201, 204, 205

      non-coding DNA

      costs/calculations, 74–75

      costs/natural selection and, 74–75

      description, 73–74

      DNA duplication/mutation and, 74

      E. coli vs. humans, 73

      gene duplication and, 74

      gene regulation and, 79

      genetic drift and, 75

      humans and, 73–74

      process/increasing, 74

      See also pseudogenes

      nuclear medicine, 170

      nucleotide building blocks, 34

      Obama, Barack, 187, 208

      Ojos Azules cats, 57

      Old Man’s Winter Night, An (Frost), 176

      orchids and lures, 49, 51

      organism size

      DNA letter numbers and, 72–73

      genetic drift and, 71, 72–73, 77

      genomes and, 71–74, 77–79

      population size and, 72

      Origin of Species (Darwin), 16, 142

      oxygen-binding proteins/evolution, 84–85

      Pachet, François, 138

      Padel, Ruth, 176

      Paris World Fair (1937), 141

      Pasteur, Louis

      “chance” quote, 145–146

      silkworms/silk industry and, 171

      vaccinations and, 148

      Pauling, Linus, 147, 193

      Payne, Joshua, 51

      penicillin, 41, 83, 87, 160, 208

      pentachlorophenol, 93

      Perugino, Pietro, 168

      pesticides, 93

      phenotypes

      definition, 28

      peppered moths and, 28

      Philip I, King, 54

      physics, theory of statistical physics, 111

      Piaget, Jean, 160–161

      Picasso, Pablo

      creativity/process and, 2–3, 141–142, 143, 145, 146, 155

      Guernica and, 141–142, 143, 145, 146, 154–155

      Pilloton, Emily, 190

      Pinker, Steven, 175

      PISA (Programme for International Student Assessment), 186

      Planck, Max, 174, 219

      play

      comparisons to genetic drift/heat, 160, 166

      costs/benefits, 158–159

      creativity and, 157–160, 164, 166

      description/examples, 157–160

      playful environment and, 164–165

      Plunckett, Roy, 147

      pneumonia bacterium, 33

      Poincaré, Henri, 155–156, 162

      point mutations, 35, 120

      polygenic variation

      definition, 15

      examples and, 15

      Prigogine, Ilya, 169, 170, 173

      Private Eye Project, 190

      Programme for International Student Assessment (PISA), 186

      Project H/Studio H, 190–191

      prolactin, 34

      protein enzymes, 24, 40

      protein hormones, 34–35

      protein texts library, 40–41

      proteins

      alternative splicing and, 45

      antifreeze proteins, 3

      folding, 34

      functions/examples, 34–35, 39–40

      heat/vibrations and, 34, 110

      as research unit, 40

      sound detection and, 45

      synthesis, 34, 39–40

      pseudogenes

      formation and, 74

      human numbers of, 75, 77

      Rabinow, Jacob, 147

      radioimmunoassay, 170

      Ramón y Cajal, Santiago, 197

      Raphael, 168, 211

      rats and play benefits, 159

      Raup, David

      ammonite swimming e
    fficiency and, 23–24, 23 (fig.)

      ammonites/traits and, 22, 23–24

      Chamberlain and, 22

      recombination

      adaptive landscapes/evolution and, 7, 90–99, 140

      as almost universal, 97

      “asexual” species and, 95–97

      creativity and, 173–176, 183, 220

      description/importance, 7, 88–89

      DNA shuffling and, 94–95

      genetic algorithms and, 128

      genetic teleportation and, 88–99

      “landing” and, 97–99

      non-destructive changes and, 97–99

      “recombinant music,” 137

      sex/sex importance and, 88–91, 96

      species without human type of, 95–97

      regulators

      adaptive landscapes and, 85–86

      birth defects and, 49

      DNA words and, 48–50, 73

      transcribing genes into RNA and, 48–49

      when/where effects, 48–49, 50–51

      reporting, automated reporting, 138–139

      Rhetoric (Aristotle), 175

      ribosomes, 44–45

      ribozyme, 45–46

      Rilke, Rainer Maria, 155

      Rips, Lance, 176

      Rivera, Diego, 146

      RNA (ribonucleic acid)

      alternate splicing and, 45–46

      descriptions/functions, 34, 44–46

      DNA comparison, 44

      energy harvesting and, 3, 47–48

      protein synthesis and, 34, 44

      ribozymes and, 45–46

      telomerase/telomeres and, 44

      Robinson, James, 215

      rock garden, Ryoanji Zen temple of Kyoto, 134–135

      Rodríguez, José Aguilar, 51

      Roosevelt, Franklin Delano, 200

      Root-Bernstein, Robert, 172

      Rothamstead agricultural research station, 15

      Rothenberg, Albert, 181

      rotifers, bdelloid, 96–97

      Round Island, 70–71

      Rubin, Vera, 193

      Ruef, Kerry, 190

      Rutherford, Ernest, 149

      Ryoanji Zen temple of Kyoto, 134–135

      Santa Claus and routing, 129

      Santa Fe Institute, New Mexico, 199–200

      Schwarzrock, Ted, 179–180

      Science, The Endless Frontier (Bush), 200–201

      sea lions, 158

      seals, fur, 158

      Selfish Gene (Dawkins), 76

      Sewall Wright effect, 61

      See also genetic drift

      Shelley, Mary, 161

      Simonton, Dean

      age/creativity, 151

      failure/creativity, 150

      historical creative output analysis, 211–212

      human creativity/evolution connection, 142

      Picasso’s Guernica/sketches and, 154–155

      Simpson, George Gaylord, 20

      simulated annealing

      algorithms/greedy algorithms, 123–124, 125–126, 128–129, 134

      annealing/heat and, 123

      “cooling” and, 124, 129

      siphuncle, 21

      Skinner, B.F., 149

      snakes

      anatomy and, 49

      split-jaw snake feeding and, 70–71

      warning colors and, 25

      snowflakes

      descriptions, 112–113, 134, 140

      diversity, 112–113

      growth of, 113

      See also crystals

      Soay sheep, 60

      Socrates, 206

      solar cells/efficiency, 132

      solutions

      art and, 2

      creativity and, 3

      See also creativity

      sound pitch

      brains encoding, 152–153

      description, 152

      Souriau, Paul, 156

      Spanish Habsburg line, 54–55

      spiders and play, 159

      spliceosome, 45

      standardized tests

      alternatives, 191–192

      problems with, 162, 163, 187, 188, 189, 192

      Star Trek analogy, 88, 97

      Steiner-Johns, Vera, 146

      Stemmer, Pim, 94, 95

      Studio H/Project H, 190–191

      surgical staples, 174–175

      Szent-Györgyi, Albert, 182

      Taizong, Emperor, 188

      Tawfik, Dan, 87

      Teflon, 147

      teleportation, genetic teleportation, 88–99

      telescope positioning, 115

      telomeres/telomerase, 44

      Tempo and Mode in Evolution (Simpson), 20

      thoughts, causes of, 143–144

      thymine base, 34

      Torrance, E. Paul, 179

      Torrance Test of Creative Thinking, 179, 188

      Tourangeau, Roger, 176

      tourist destinations routing, 129

      Transfiguration of Christ, The (Raphael), 168

      traveling salesman problem (TSP), 116–117

      trucking vehicle routing problem, 115–116, 118–119, 118 (fig.)

      Turing, Alan

      computing vision, 126

      test for distinguishing AI/human intelligence, 136–137, 138

      Turing test, 136–137, 138

      Tutankhamun, King

      deformities/inbreeding and, 53–54, 60

      tomb and fetuses/canes, 53

      underworld mythological journeys, 155

      UNESCO World Heritage Site, 134

      Valéry, Paul, 146

      van der Waals force, 105

      van Tonder, Gert, 134–135

      van Veenendaal, Albert, 138

      vehicle routing problems (VRP)

      adaptive landscapes vs., 119–121

      algorithms and, 116, 119–121

      computer chips/wiring and, 117

      crystal/atom diffraction measurements and, 117

      elevation, 119

      location, 119

      natural selection vs., 121

      other examples, 116–117

      swapping and, 120–121

      telescope positions and, 115

      traveling salesman problem (TSP), 116–117

      trucking/VRP and, 115–116, 118–119, 118 (fig.)

      See also combinatorial optimization problems; cost landscape/profile

      velcro, 175

      volume measuring, 162

      von Helmholtz, Hermann

      background, 170–171

      climbing/evolution and, 52

      problem solving comparisons, 8, 99, 156

      VRP. See vehicle routing problems (VRP)

      Wagner, Andreas

      background/education background, 195–196

      roles, 3–4

      university applications/applicants, 194–195, 196, 197–198

      work/studies of, 3–4, 83–84, 86–87, 97

      warning coloration/aposematic colors

      adaptive landscapes and, 25–26

      advantages, 25

      convergent evolution and, 26–27

      description, 24–25

      Müllerian mimicry/mimicry and, 26–27

      origins and, 27

      See also specific examples

      Watson, James, 33–34, 160

      Weinreich, Daniel, 42–43

      Westermarck effect, 58

      When Will You Marry (Gauguin), 168

      White, Michelle J., 214

      Why Nations Fail (Acemoglu and Robinson), 215

      Wilson, E.O., 193

      Wilson, Robert R., 172

      Woods, Tiger, 7

      World Health Organization List of Essential Medicines, 41

      World Heritage Site, UNESCO, 134

      Wright, Sewall

      background/expertise, 5, 8, 15–16, 17

      breeding work and, 5, 15–16, 17

      gene interaction complexity and, 16, 28

      genetic drift and, 61

      Haldane/Fisher work and, 12, 15, 16

      landscape concept and, 5–6, 17, 20–21, 24, 28, 31, 32, 36, 37, 38, 40, 51–52

      pedigree studies, 16

      Yalow,
    Rosalyn, 179

      “Yesterday” (McCartney), 161

      Zhao Gu, 188

      zorse as hybrid, 91

      Zuckerberg, Mark, 210

      Notes

      Prologue

      1. Appropriateness is no less important than originality: “Forty-one” is a highly original response to the question about the sum of two plus two, but it is not appropriate. Psychologists also make further distinctions, such as that between the creativity of a product (the Mona Lisa, Beethoven’s symphonies, or General MacArthur’s battle plan) and creativity as a personality trait, really a disposition, found in highly creative people like Mozart or Einstein to bring forth creative products. See page 152 of Eysenck (1993). For the purpose of this book, a product-centered definition of creativity is most appropriate.

      2. See page 33 of Kubler (1962).

      3. Although, as I mention in Chapter 1, Wright’s own experiments used guinea pigs.

      4. It is worth keeping in mind that in the realm of biology natural selection is not synonymous with competition. For example, under fertility selection, where organisms in a population differ in the number of offspring they have, perhaps through their genetic makeup and not through any limitation in resources, more fertile lineages may come to dominate a population without any need for competition. If I juxtapose competition and selection throughout, it’s because competition is perhaps the closest analogue to selection in the human realm.

      5. See page 282 of von Helmholtz (1908). This edited volume is from 1908, but the passage in question stems from a lecture that von Helmholtz gave in 1891.

      Chapter 1: The Cartography of Evolution

      1. See page 38 of Clark (2013).

      2. See Chapters 1–3 of Clark (2013).

      3. See page 100 of Clark (2013).

      4. See page 70 of Clark (2013).

      5. See Darwin (1859).

      6. See Vol. 1, Chapter IX of Darwin (1868).

      7. For a concise summary of pertinent evidence and a spirited defense of Darwin’s theory see Coyne (2005).

      8. The term survival of the fittest was coined in 1864 by Herbert Spencer and adopted by Darwin a few years later in his fifth edition of Origin.

      9. See Kettlewell (1973) and Majerus (1998). Note that these experiments were performed long after Darwin’s time. See also the blog entry “The Peppered Moth Story Is Solid” by evolutionary biologist Jerry Coyne on his blog “Why Evolution Is True” at http://whyevolutionistrue.wordpress.com/2012/02/10/the-peppered-moth-story-is-solid/.

      10. Haldane (1924).

      11. Haldane called the difference in fitness between two organisms a selection coefficient, a term still used in textbooks almost one hundred years later.

      12. See Chapters 5 and 9 of Provine (1986) as well as Wright (1978). By complex interactions I specifically mean that genes interact non-additively, non-linearly, or (in genetic jargon) epistatically when bringing forth a phenotype.

      13. Wright (1932). An earlier predecessor was proposed by the French scientist Armand Janet in 1895, but it lacked the genetic component essential to understanding evolution. See Dietrich and Skipper (2012).

      14. See Dietrich and Skipper (2012) and Skipper and Dietrich (2012). Pigliucci (2012) discusses useful distinctions between different kinds of landscapes.

     


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