The Broader View

  • George EllisEmail author
Part of the The Frontiers Collection book series (FRONTCOLL)


The conclusion arising from the arguments given in this book is that there are other forms of causation than those encompassed by physics and physical chemistry alone, or even in genetics and neuroscience.


Causal Power Oral Language Quantum Fluctuation Emergent Literacy Adaptive Selection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    H. Abadzi, Efficient Learning for the Poor: Insights from the Frontier of Cognitive Neuroscience (The World Bank, Washington, DC, 2006)CrossRefGoogle Scholar
  2. 2.
    D. Abbott, P.C.W. Davies, C.R. Shalizi, Order from disorder: the role of noise in creative processes. Fluc. Noise Lett. 02, 1 (2002)MathSciNetCrossRefGoogle Scholar
  3. 3.
    R.L. Ackoff, Systems thinking and thinking systems. Syst. Dyn. Rev. 10, 175–188 (1994)CrossRefGoogle Scholar
  4. 4.
    R.L. Ackoff, F.E. Emery, On Purposeful Systems: An Interdisciplinary Analysis of Individual and Social Behavior as a System of Purposeful Events (Aldine, 2005)Google Scholar
  5. 5.
    U. Alon, An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman and Hall, 2006)Google Scholar
  6. 6.
    N. Ambady, The mind in the world: culture and the brain. Assoc. Psychol. Sci. 24(5–6), 49 (2011)Google Scholar
  7. 7.
    B.B. Armbruster, F. Lehr, J. Osborn, The Research Building Blocks for Teaching Children to Read: Put Reading First (National Institute for literacy, 2000).
  8. 8.
    P.W. Atkins, The limitless power of science, in Nature’s Imagination: the Frontiers of Scientific Vision, ed. by J. Cornwell (Oxford University Press, Oxford), pp. 122–132Google Scholar
  9. 9.
    G. Auletta, G. Ellis, L. Jaeger, Top-down causation: from a philosophical problem to a scientific research program. J. Roy. Soc. Interface 5, 1159–1172 (2007). arXiv:0710.4235 CrossRefGoogle Scholar
  10. 10.
    D. Barton, Literacy: An Introduction to the Ecology of Written Language (Blackwell, Malden, Massachusetts, 1994)Google Scholar
  11. 11.
    Y. Bar-Yam, "General Features of Complex Systems" Encyclopedia of Life Support Systems (EOLSS UNESCO Publishers, Oxford, UK, 2002)Google Scholar
  12. 12.
    C. Baugh, Correlation function and power spectra in cosmology, in Encyclopedia of Astronomy and Astrophysics, ed. by P. Murdin (IOP Publishing, 2006)Google Scholar
  13. 13.
    S. Beer, Brain of the Firm (Wiley, 1994)Google Scholar
  14. 14.
    N. Bellomo, A. Elaiw, A.M. Althiabi, M.A. Alghamdi, On the interplay between mathematics and biology: Hallmarks toward a new systems biology. Phys. Life Rev. 12, 44–64 (2015)ADSCrossRefGoogle Scholar
  15. 15.
    R.P. Benthal, Doctoring the Mind: Why Psychiatric Treatments Fail (Penguin, 2009)Google Scholar
  16. 16.
    P.L. Berger, Invitation to Sociology (Anchor Books, 1963)Google Scholar
  17. 17.
    G.L. Bissex, Gnys at Wrk: A Child Learns to Write and Read (Harvard University Press, Cambridge, 1985)Google Scholar
  18. 18.
    C. Bloch, Chloe’s Story: First Steps into Literacy (Juta Academic, 1997)Google Scholar
  19. 19.
    C. Bloch, Enabling Effective Literacy Learning in Multilingual South African Early Childhood Classrooms (University of Cape Town, PRAESA, 2005)Google Scholar
  20. 20.
    C. Bloch, Theory and Strategy of Early Literacy in Contemporary Africa with Special Reference to South Africa (PRAESA, University of Cape Town, 2006). Occasional Papers No. 25Google Scholar
  21. 21.
    G. Booch, Object-Oriented Analysis and Design with Applications (Addison Wesley, New York, NY, 1994)zbMATHGoogle Scholar
  22. 22.
    R. Borowsky, J. Cummine, W.J. Owen, C.K. Friesen, F. Shih, G.E. Sarty, fMRI of ventral and dorsal processing streams in basic reading processes: insular sensitivity to phonology. Brain Topogr. 18, 233–239 (2006)CrossRefGoogle Scholar
  23. 23.
    R. Borowsky, C. Esopenko, J. Cummine, G.E. Sarty, Neural representations of visual words and objects: a functional MRI study on the modularity of reading and object processing. Brain Topogr. 20, 89 (2007)CrossRefGoogle Scholar
  24. 24.
    V. Brattka, M. Hendtlass, A.P. Kreuzer, On the uniform computational content of computability theory.
  25. 25.
    J. Bronowski, The Ascent of Man (Little Brown and Co., Boston, 1973)Google Scholar
  26. 26.
    J. Bruner, Child’s Talk: Learning to Use Language (Norton, New York, 1983)Google Scholar
  27. 27.
    J.T. Cacioppo, J. Decety, Social neuroscience: challenges and opportunities in the study of complex behavior. Ann. N. Y. Acad. Sci. 1224, 162–173 (2011)ADSCrossRefGoogle Scholar
  28. 28.
    B. Cambourne, Toward an educationally relevant theory of literacy learning: twenty years of inquiry. Read. Teach. 43, 182–190 (1995). doi: 10.1598/RT.49.3.1 CrossRefGoogle Scholar
  29. 29.
    D.T. Campbell, Downward causation, in Studies in the Philosophy of Biology: Reduction and Related Problems, ed. by F.J. Ayala, T. Dobhzansky (University of California Press, Berkeley, 1974)Google Scholar
  30. 30.
    N.A. Campbell, J.B. Reece, Biology (Benjamin Cummings, San Francisco, 2005)Google Scholar
  31. 31.
    S.T. Chan, S.W. Tang, K.W. Tang, W.K. Lee, S.S. Lo, K.K. Kwong, Hierarchical coding of characters in the ventral and dorsal visual streams of Chinese language processing. Neuroimage 48, 423 (2009)CrossRefGoogle Scholar
  32. 32.
    J.-P. Changeux, A. Connes, Conversations on Mind, Matter, and Mathematics (Princeton University Press, 1995)Google Scholar
  33. 33.
    T. Chouard, Breaking the protein rules: if dogma dictates that proteins need a structure to function, then why do so many of them live in a state of disorder? Nature 471, 151 (2011). doi: 10.1038/471151a ADSCrossRefGoogle Scholar
  34. 34.
    D. Chowdhury, Stochastic mechano-chemical kinetics of molecular motors: a multidisciplinary enterprise from a physicist’s perspective. Phys. Rep. 529, 1–197 (2013)ADSMathSciNetCrossRefGoogle Scholar
  35. 35.
    P. Churchland, Plato’s Camera: How the Physical Brain Captures a Landscape of Abstract Universals (MIT Press, 2012)Google Scholar
  36. 36.
    C.W. Churchman, The Systems Approach (Delacorte Press, 1968)Google Scholar
  37. 37.
    P. Clayton, Mind and Emergence: From Quantum to Consciousness (Oxford University Press, Oxford, 2004)Google Scholar
  38. 38.
    P. Clayton, P.C.W. Davies (eds.), The Re-emergence of Emergence (Oxford University Press, Oxford, 2006)Google Scholar
  39. 39.
    S. Conway Morris, Life’s Solution: Inevitable Humans in a Lonely Universe (Cambridge University Press, Cambridge, 2005)Google Scholar
  40. 40.
    S. Conway Morris (ed.), The Deep Structure of Biology (Templeton Foundation Press, 2008)Google Scholar
  41. 41.
    F. Crick, Astonishing Hypothesis: The Scientific Search for the Soul (Scribner, 1995)Google Scholar
  42. 42.
    A. Davis, To read or not to read: decoding synthetic phonics, in IMPACT: Philosophical Perspectives on Education Policy, vol. 20 (Wiley, 2013).
  43. 43.
    T. Deacon, The Symbolic Species: The Co-evolution of Language and the Human Brain (Penguin Books, London, 1997)Google Scholar
  44. 44.
    T. Deacon, Universal grammar and semiotic constraints, in Language Evolution, ed. by M. Christiansen, S. Kirby (Oxford University Press, Oxford, 2003), pp. 111–139CrossRefGoogle Scholar
  45. 45.
    G. Deco, E.T. Rolls, Neurodynamics of biased competition and cooperation for attention: a model with spiking neurons. J. Neurophysiol. (2005). doi: 10.1152/jn.01095.2004 Google Scholar
  46. 46.
    G. Deco, E.T. Rolls, R. Romo, Stochastic dynamics as a principle of brain function. Prog. Neurobiol. 88, 1–16 (2009)CrossRefGoogle Scholar
  47. 47.
    S. Dehaene, Reading in the Brain: The New Science of How We Read (Penguin, London, UK, 2010)Google Scholar
  48. 48.
    H.L. de Jong, Levels of explanation in biological psychology. Philos. Psychol. 15, 441–462 (2002)CrossRefGoogle Scholar
  49. 49.
    S. Dodelson, Modern Cosmology (Academic Press, San Diego, 2003)Google Scholar
  50. 50.
    M. Donald, A Mind so Rare: The Evolution of Human Consciousness (W. W. Norton, New York, 2001), pp. 29–36Google Scholar
  51. 51.
    W. Dubitzky, O. Wolkenhauer, H. Yokota, K.-H. Cho (eds.), Encyclopedia of Systems Biology (Springer, New York, 2013)Google Scholar
  52. 52.
    R. Dunbar, Human Evolution (Pelican Books, London, 2014)Google Scholar
  53. 53.
    J. Dupré, Human Nature and the Limits of Science (Oxford University Press, New York, 2002)Google Scholar
  54. 54.
    A. Ebe, What eye movement and miscue analysis reveals about the reading process of young bilinguals, in Scientific Realism in Studies of reading, ed. by A.D. Flurkey, E.J. Paulson, K.S. Goodman (Taylor and Francis, London, 2008), pp. 131–152Google Scholar
  55. 55.
    A.S. Eddington, The Nature of the Physical World (MacMillan, 1928)Google Scholar
  56. 56.
    A. Eldar, M.B. Elowitz, Functional role for noise in genetic circuits. Nature 467, 167–173 (2010)ADSCrossRefGoogle Scholar
  57. 57.
    D. Elder-Vass, The Causal Power of Social Structures: Emergence, Structure and Agency (Cambridge University Press, Cambridge, 2010)CrossRefGoogle Scholar
  58. 58.
    G.F.R. Ellis, Physics, complexity, and causality. Nature 435, 743 (2005)ADSCrossRefGoogle Scholar
  59. 59.
    G.F.R. Ellis, Issues in the philosophy of cosmology, in Handbook in Philosophy of Physics ed. by J. Butterfield, J. Earman (Elsevier, 2006), pp. 1183–1285.
  60. 60.
    G.F.R. Ellis, On the nature of causation in complex systems. Trans. Roy. Soc. S. Afr. 63, 69–84 (2008)CrossRefGoogle Scholar
  61. 61.
    G.F.R. Ellis, Commentary on ‘An Evolutionarily Informed Education Science’ by David C Geary. Educ. Psychol. 43, 206–213 (2008)CrossRefGoogle Scholar
  62. 62.
    G.F.R. Ellis, Top-down causation and emergence: some comments on mechanisms. J. Roy. Soc. Interface Focus 2, 126–140 (2012)CrossRefGoogle Scholar
  63. 63.
    G.F.R. Ellis, On the philosophy of cosmology. Stud. Hist. Philos. Sci. Part B. Stud. Hist. Philos. Mod. Phys. 46, 5–23 (2013)CrossRefGoogle Scholar
  64. 64.
    G.F.R. Ellis, Necessity, purpose, and chance: the role of randomness and indeterminism in nature from complex macroscopic systems to relativistic cosmology (2014).
  65. 65.
    G.F.R. Ellis, D. Noble, T. O’Connor, Top-down causation: an integrating theme within and across the sciences? Interface Focus 2(1) (2012). Google Scholar
  66. 66.
    N.C. Ellis, Emergentism, connectionism and language learning. Lang. Learn. 48, 631–664 (1998)CrossRefGoogle Scholar
  67. 67.
    M.B. Elowitz, A.J. Levine, E.D. Siggia, P.S. Swain, Stochastic gene expression in a single cell. Science 297, 1183–1186 (2002)ADSCrossRefGoogle Scholar
  68. 68.
    A. Falcon, Aristotle on Causality, The Stanford Encyclopedia of Philosophy (Spring 2015 Edition). ed. by Edward N. Zalta.
  69. 69.
    G. Fauconnier, Mappings in Thought and Language (Cambridge University Press, Cambridge, 1997)CrossRefGoogle Scholar
  70. 70.
    C. Fernando, E. Szathmáry, P. Husbands, Selectionist and evolutionary approaches to brain function: a critical appraisal. Front. Comput. Neurosci. 6, 24 (2012). doi: 10.3389/fncom.2012.00024 CrossRefGoogle Scholar
  71. 71.
    E. Ferreiro, A. Teberosky, Literacy Before Schooling (Heinemann Educational Books, London, 1993)Google Scholar
  72. 72.
    R. Feynman, The Character of Physical Law (Modern Library, 1994)Google Scholar
  73. 73.
    R.P. Feynman, R.B. Leighton, M. Sands, The Feynman Lectures on Physics: Quantum Mechanics (Addison-Wesley, Reading, Mass, 1965)zbMATHGoogle Scholar
  74. 74.
    D. Fleisch, A Student’s Guide to Maxwell’s Equations (Cambridge University Press, Cambridge, UK, 2008)zbMATHCrossRefGoogle Scholar
  75. 75.
    R.L. Flood, E. Carson, Dealing with Complexity: An Introduction to the Theory and Application of Systems Science (Springer, USA, 1993)zbMATHCrossRefGoogle Scholar
  76. 76.
    A.D. Flurkey, E.J. Paulsen, K.S. Goodman, Scientific Realism in Studies of Reading (Laurence Erlbaum, New York, NY, 2008)Google Scholar
  77. 77.
    B. Flyvbjerg, Making Social Science Matter: Why Social Enquiry Fails and How it Can Succeed Again (Cambridge University Press, Cambridge, 2001)CrossRefGoogle Scholar
  78. 78.
    B. Flyvbjerg, T. Landman, S. Schram, Real Social Science: Applied Phronesis (Cambridge University Press, Cambridge, 2012)CrossRefGoogle Scholar
  79. 79.
    V.E. Frankl, Man’s Search for Meaning (Beacon Press. Boston 1963, (2006)Google Scholar
  80. 80.
    C. Frith, Making up the Mind: How the Brain Creates Our Mental World (Blackwell, Malden, 2007)Google Scholar
  81. 81.
    M. Gellman, The Quark and the Jaguar (Abacus, London, 1995)Google Scholar
  82. 82.
    S.H. Gellman (ed.), Molecular recognition. Chem. Rev. 97(5), 1231–1232 (1997)Google Scholar
  83. 83.
    M. Gellman, The Quark and the Jaguar (Abacus, 2002)Google Scholar
  84. 84.
    S. Gilbert, Developmental Biology (Sinauer, Sunderland, 2013)Google Scholar
  85. 85.
    S.F. Gilbert, D. Epel, Ecological Developmental Biology (Sinauer, Sunderland, Mass, 2009)Google Scholar
  86. 86.
    P.W. Glimcher, Indeterminacy in brain and behavior. Annu. Rev. Psychol. 56, 25–56 (2005)CrossRefGoogle Scholar
  87. 87.
    K.S. Goodman, Reading: a psycholinguistic guessing game, in Language and Literacy: The Selected Writings of Kenneth Goodman, vol. 1, ed. by F.V. Gollasch (London, UK, Routledge and Kegan Paul, 1967), pp. 33–44Google Scholar
  88. 88.
    K. Goodman, What’s Whole in Whole Language: 20th, Anniversary edn. (RDR Books, Muskegon, MI, 2005)Google Scholar
  89. 89.
    K. Goodman, “Afterword: whole language and the pedagogy of the absurd. What’s whole in whole language” 20th anniversary edition, in What’s Whole in Whole Language: 20th Anniversary Edition (RDR Books, Muskegon, MI, 2005)Google Scholar
  90. 90.
    K.S. Goodman, The Truth About DIBELS: What It Is-What It Does (Heinemann, Portsmouth, NH, 2006)Google Scholar
  91. 91.
    K. Goodman, Suffer Little Children to Come to Be DIBELed (2008).
  92. 92.
    K.S. Goodman, E.B. Smith, R. Meredith, Y.T. Goodman, Language and Thinking in School: A Whole Language Curriculum (Richard C. Owen Publishers, New York, NY, 1986)Google Scholar
  93. 93.
    A. Gopnik, A. Meltzoff, P. Kuhl, The Scientist in the Crib: What Early Learning Tells Us about the Mind (Perennial, New York, 1999)Google Scholar
  94. 94.
    M. Gove, Speech on improving the quality of teaching and leadership, given on 5 Sept 2013 at Policy Exchange, London (2013), Accessed 3 Nov 2013
  95. 95.
    J. Gottschall, The Storytelling Animal: How Stories Make Us Human (Boston, Mariner Books, 2012)Google Scholar
  96. 96.
    P. Gray, Psychology (Worth, New York, NY, 2011)Google Scholar
  97. 97.
    S.I. Greenspan, S.G. Shanker, The First Idea: How Symbols, Language, and Intelligence Evolved from our Primate Ancestors to Modern Humans (Da Capo Press, Cambridge, Mass, 2004)Google Scholar
  98. 98.
    A.C. Guyton, Basic Human Physiology (W. B. Saunders, Philadelphia, 1977)Google Scholar
  99. 99.
    N. Hall, Writing with Reason (Hodder and Stoughton, London, UK, 1989)Google Scholar
  100. 100.
    M. Halliday, Learning How to Mean (Edward Arnold, London, 1975)CrossRefGoogle Scholar
  101. 101.
    A.S. Hansen, E.K. O’Shea, Promoter decoding of transcription factor dynamics involves a trade-off between noise and control of gene expression. Mol. Syst. Biol. 9, 704 (2013)CrossRefGoogle Scholar
  102. 102.
    C.M. Harris, D.M. Wolpert, Signal-dependent noise determines motor planning. Nature 394, 780–784 (1998)ADSCrossRefGoogle Scholar
  103. 103.
    E. Harrison, Cosmology: The Science of the Universe (Cambridge University Press, Cambridge, 2000)zbMATHCrossRefGoogle Scholar
  104. 104.
    L.H. Hartwell, J.J. Hopfield, S. Leibler, A.W. Murray, From molecular to modular cell biology. Nature 402, C47–C52 (1999). Supplement (2 December 1999)Google Scholar
  105. 105.
    D. Haslacher, Beyond the computational–representational brain: why affective neuroscience tells us attitudes must be explained on multiple levels. Front. Behav. Neurosci. 8, 419 (2014)CrossRefGoogle Scholar
  106. 106.
    J. Hawkins, On Intelligence (Holt Paperbacks, New York, NY, 2004)Google Scholar
  107. 107.
    S.B. Heath, Ways with Words (Cambridge University Press, Cambridge, 1983)Google Scholar
  108. 108.
    G. Hinshaw, WMAP data put cosmic inflation to the test. Phys. World 19, 16–19 (2006)Google Scholar
  109. 109.
    E.P. Hoel, L. Albantakis, G. Tononi, Quantifying causal emergence shows that macro can beat micro. PNAS 110, 19790–19795 (2013). Google Scholar
  110. 110.
    P.M. Hoffmann, Life’s Ratchet: How Molecular Machines Extract Order from Chaos (Basic Books, 2012)Google Scholar
  111. 111.
    J.H. Holland, Adaptation in Natural and Artificial Systems (MIT Press, Cambridge, MA, 1992)Google Scholar
  112. 112.
    D. Holdaway, The Foundations of Literacy (Ashton Scholastic, Sydney, 1979)Google Scholar
  113. 113.
    M. Hoey, Textual Interaction: An Introduction to Written Discourse Analysis (Routledge, 2001)Google Scholar
  114. 114.
    M. Hoey, Lexical Priming: A New Theory of Words and Language (Routledge, London, UK, 2005)CrossRefGoogle Scholar
  115. 115.
    S. Hunston, Corpora in Applied Linguistics (Cambridge University Press, Cambridge, 2002)CrossRefGoogle Scholar
  116. 116.
    D. Huron, Sweet Anticipation: Music and the Psychology of Expectation (MIT Press, Cambridge, MA, 2007)Google Scholar
  117. 117.
    J.S. Hutton, T. Horowitz-Kraus, T. De Witt, S. Holland, Parent–child reading increases activation of brain networks supporting emergent literacy in 3–5 year-old children: an fMRI study. Presentation at Pediatric Academic Societies (PAS) annual meeting in San Diego. Session: General Pediatrics and Preventive Pediatrics—Prevention and Early Intervention, 25 Apr 2015Google Scholar
  118. 118.
    J.S. Hutton, T. Horowitz-Kraus, A.L. Mendelsohn, T. DeWitt, S.K. Holland, Home reading environment and brain activation in preschool children listening to stories. Pediatrics 136(3), 466–478 (2015). doi: 10.1542/peds.2015-0359 CrossRefGoogle Scholar
  119. 119.
    P.A. Iglesias, B.P. Ingalis, Control Theory and Systems Biology (MIT Press, Cambridge, MA, 2010)Google Scholar
  120. 120.
    C.J. Isham, Lectures on Quantum Theory: Mathematical and Structural Foundations (Imperial College Press, London, 1995)zbMATHCrossRefGoogle Scholar
  121. 121.
    L. Jaeger, E.R. Calkins, Downward causation by information control in micro-organisms. Interface Focus 2, 26–41 (2012)CrossRefGoogle Scholar
  122. 122.
    J. Kagan, The Human Spark: The Science of Human Development (Basic Books, 2013)Google Scholar
  123. 123.
    E. Kandel, Psychiatry, Psychoanalysis, and the New Biology of Mind (American Psychiatric Publishing, Washington, DC, 2005)Google Scholar
  124. 124.
    E. Kandel, The Age of Insight: The Quest to Understand the Unconscious in Art, Mind, and Brain, from Vienna 1900 to the Present (Random House, 2012)Google Scholar
  125. 125.
    E.R. Kandel, J.H. Schwartz, T.M. Jessell, Principles of Neural Science (McGraw Hill, New York, 2000)Google Scholar
  126. 126.
    D.E. Knuth, Selected Papers on Design of Algorithms (Center for the Study of Language and Information, Stanford, CA, 2010)zbMATHGoogle Scholar
  127. 127.
    S.D. Krashen, T.D. Terrell, The Natural Approach: Language Acquisition in the Classroom (Alemany Press, San Francisco, CA, 1983)Google Scholar
  128. 128.
    B.-O. Küppers, Information and the Origin of Life (The MIT Press, Cambridge, Mass, 1990)Google Scholar
  129. 129.
    J. Le Fanu, The Rise and Fall of Modern medicine (Abacus, 2011)Google Scholar
  130. 130.
    J.-M. Lehn, Perspectives in supramolecular chemistry: from molecular recognition towards molecular information processing and self-organization. Angew. Chem. Int. Ed. Engl. 27, 89–121 (1988)CrossRefGoogle Scholar
  131. 131.
    J.-M. Lehn, Supramolecular Chemistry (Wiley-VCH, Weinheim, 1995)CrossRefGoogle Scholar
  132. 132.
    D.J. Levitin, This Is Your Brain on Music: The Science of a Human Obsession (Plume, London, UK, 2007)Google Scholar
  133. 133.
    C.S. Lewis, Of Other Worlds: Essays and Stories (Harcourt, 1966)Google Scholar
  134. 134.
    O. Lombardi, The ontological autonomy of the chemical world: facing the criticisms, in Philosophy of Chemistry, ed. by E. Scerri, L. McIntyre, vol. 306. Boston Studies in the Philosophy and History of ScienceGoogle Scholar
  135. 135.
    J.E. Longres, Human Behaviour in the Social Environment (F.E, Peacock, 1990)Google Scholar
  136. 136.
    G.R. Lyon, J.M. Rumsey (eds.), Neuroimaging: A Window to the Neurological Foundations of Learning and Behaviour in Children (Brookes, Baltimore, 1996)Google Scholar
  137. 137.
    P.K. Maini, T.E. Woolley, R.E. Baker, E.A. Gaffney, S.S. Lee, Turing’s model for biological pattern formation and the robustness problem. Interface Focus 2, 487–496 (2012)CrossRefGoogle Scholar
  138. 138.
    D. Marr, Vision: A Computational Investigation into the Human Representation and Processing of Visual Information (W.H. Freeman, San Francisco, 1982)Google Scholar
  139. 139.
    M. Martinez, A. Moyo, Natural selection and multi-level causation. Philos. Theor. Biol. 3, 2 (2011).;view=fulltex
  140. 140.
    H.H. McAdams, A. Arkin, Stochastic mechanisms in gene expression. Proc. Nat. Acad. Sci. 94, 814–819 (1997)ADSCrossRefGoogle Scholar
  141. 141.
    G. McGhee, Convergent Evolution: Limited Forms most Beautiful (MIT Press, Cambridge, Mass, 2010)Google Scholar
  142. 142.
    G. McGhee, Convergent Evolution: Limited Forms Most Beautiful (MIT Press, Cambridge, Mass, 2011)CrossRefGoogle Scholar
  143. 143.
    A.R. McIntosh, N. Kovacevic, R.J. Itier, Increased brain signal variability accompanies lower behavioral variability in development. PLOS Comput. Biol. 4, e1000106 (2008)ADSMathSciNetCrossRefGoogle Scholar
  144. 144.
    A.R. McIntosh, N. Kovacevic, S. Lippe, D. Garrett, C. Grady, V. Jirsa, The development of a noisy brain. Arch. Ital. Biol. 148, 323–337 (2010)Google Scholar
  145. 145.
    R. Meyer, Phonics Exposed: Understanding and Resisting Systematic Direct Intense Phonics Instruction (Erlbaum, London, 2002)Google Scholar
  146. 146.
    M. Miodownik, Stuff Matters: Exploring the Marvelous Materials that Shape our Man-Made World (Houghton Mifflin Harcourt, Boston, 2014)Google Scholar
  147. 147.
    J. Monod, Chance and Necessity: An Essay on the Natural Philosophy of Modern Biology (Penguin, 1997)Google Scholar
  148. 148.
    V.F. Mukhanov, H.A. Feldman, R.H. Brandenberger, Theory of cosmological perturbations. Phys. Rep. 215, 203–333 (1992)ADSMathSciNetCrossRefGoogle Scholar
  149. 149.
    N. Murphy, W. Brown, Did My Neurons Make me Do it? Philosophical and Neurobiological Perspectives on Moral Responsibility and Free Will (Oxford University Press, New York, 2007)CrossRefGoogle Scholar
  150. 150.
    N. Murphy, G.F.R. Ellis, T. O’Connor (eds.), Downward Causation and the Neurobiology of Free Will (Springer, Heidelberg, 2009)zbMATHGoogle Scholar
  151. 151.
    J.K. Nicholson, E. Holmes, J.C. Lindon, I.D. Wilson, The challenges of modeling mammalian biocomplexity. Nat. Biotechnol. 22, 1268–1274 (2004)CrossRefGoogle Scholar
  152. 152.
    D. Noble, The Music of Life: Biology Beyond Genes (Oxford University Press, Oxford, 2008)Google Scholar
  153. 153.
    D. Noble, A theory of biological relativity: no privileged level of causation. Interface Focus 2, 55–64 (2012)CrossRefGoogle Scholar
  154. 154.
    V.G. Paley, The Boy Who Would Be a Helicopter: The Uses of Storytelling in the Classroom (Harvard University Press, Cambridge, MA, 1990)Google Scholar
  155. 155.
    Quaker Faith and Practice, 27.22 (Religious Society of Friends, London)Google Scholar
  156. 156.
    R. Penrose, The Large, the Small and the Human Mind (Cambridge University Press, Canton, 2000)zbMATHGoogle Scholar
  157. 157.
    I. Percival, Schrödinger’s quantum cat. Nature 351, 357 (1991)ADSCrossRefGoogle Scholar
  158. 158.
    G.A. Petsko, D. Ringe, Protein Structure and Function (Oxford University Press, Oxford, 2009)Google Scholar
  159. 159.
    J. Piaget, Play, Dreams and Imitation in Childhood (Norton, New York, 1962)Google Scholar
  160. 160.
    D. Purves, Brains: How they Seem to Work (FT Press Science, Upper Saddle River, NJ, 2010)Google Scholar
  161. 161.
    A. Rae, Quantum Physics: Illusion or Reality? (Cambridge University Press, Cambridge, 1994)Google Scholar
  162. 162.
    C.V. Rao, D.M. Wolf, A.P. Arkin, Control, exploitation and tolerance of intracellular noise. Nature 420, 231–237 (2002)ADSCrossRefGoogle Scholar
  163. 163.
    J.M. Raser, E.K. O’Shea, Noise in gene expression: origins, consequences, and control. Science 309, 2010–2013 (2005)ADSCrossRefGoogle Scholar
  164. 164.
    R. Rhoades, R. Pflanzer, Human Physiology (Saunders College Publishing, Fort Worth, 1989)Google Scholar
  165. 165.
    J.G. Roederer, Information and Its Role in Nature (Springer, Heidelberg, 2005)zbMATHGoogle Scholar
  166. 166.
    B. Rogoff, The Cultural Nature of Human Development (Oxford University Press, New York, 2003)Google Scholar
  167. 167.
    E.T. Rolls, G. Deco, The Noisy Brain: Stochastic Dynamics as a Principle of Brain Function (Oxford University Press, Oxford, 2010)zbMATHCrossRefGoogle Scholar
  168. 168.
    M.S. Samoilov, G. Price, A. Arkin, From fluctuations to phenotypes: the physiology of noise. Sci. STKE 2006(366), re17 (2006)Google Scholar
  169. 169.
    J. Scalo, J.C. Wheeler, P. Williams, Intermittent jolts of galactic UV radiation: mutagenetic effects, in Frontiers of Life, 12th Rencontres de Blois ed. by L.M. Celnikier (2001). arXiv:astroph/0104209
  170. 170.
    S. Shaywitz, Overcoming Dyslexia: A New and Complete Science-Based Program for Reading Problems at any Level (Vintage, 2003)Google Scholar
  171. 171.
    S. Shaywitz, B.M. Shaywitz, K.R. Pugh, P. Skudlarski, R.K. Fulbright, R.T. Constable, R.A. Bronen, J.M. Fletcher, A.M. Liberman, D.P. Shankweiler, L. Katz, C. Lacadie, K.E. Marchione, J.C. Gore, The neurobiology of developmental dyslexia as viewed through the lens of functional magnetic resonance imaging technology, in Neuroimaging: A Window to the Neurological Foundations of Learning and Behaviour in Children, ed. by G.R. Lyon, J.M. Rumsey (Baltimore, Brookes, 1996), pp. 80–94Google Scholar
  172. 172.
    N. Shea, Distinguishing top-down from bottom-up effects, in Perception and Its Modalities, ed. by S. Biggs, M. Matthen, D. Stokes (Oxford University Press, Oxford, 2013)Google Scholar
  173. 173.
    J. Silk, A Short History of the Universe (Henry Holt and Company, 1997)Google Scholar
  174. 174.
    J. Silk, The Big Bang (Henry Holt and Company, 2000)Google Scholar
  175. 175.
    H.A. Simon, The Sciences of the Artificial (MIT Press, Cambridge, Mass, 1992)Google Scholar
  176. 176.
    C. Snow et al., Developing Early Literacy: Report of the National Early Literacy Panel. A Scientific Synthesis of Early Literacy Development and Implications for Intervention (National Institute for Literacy, 2008)Google Scholar
  177. 177.
    K. Stotz, Extended evolutionary psychology: the importance of transgenerational developmental plasticity. Front. Psychol 5(1), 908 (2014)Google Scholar
  178. 178.
    S.L. Strauss, The Linguistics, Neurology, and Politics of Phonics: Silent E Speaks out (Lawrence Erlbaum, Mahwah, New Jersey, 2005)Google Scholar
  179. 179.
    S.L. Strauss, The political economy of dyslexia. Mon. Rev. 66(04) (2014). Google Scholar
  180. 180.
    S.L. Strauss, B. Altwerger, The logographic nature of English alphabetics and the fallacy of direct intensive phonics instruction. J. Early Child. Lit. 7, 299–317 (2007)CrossRefGoogle Scholar
  181. 181.
    S.L. Strauss, K.S. Goodman, E.J. Paulson, Brain research and reading: how emerging concepts in neuroscience support a meaning constructionist view of the reading process. Educ. Res. Rev. 4, 21–33 (2009)Google Scholar
  182. 182.
    B. Street, Literacy in Theory and Practice (Cambridge University Press, Cambridge, 1984)Google Scholar
  183. 183.
    B. Street, Social Literacies: Critical Approaches to Literacy Development, Ethnography and Education (Longman, London, 1995)Google Scholar
  184. 184.
    A.S. Tanenbaum, Structured Computer Organisation (Prentice Hall, Englewood Cliffs, 2006)Google Scholar
  185. 185.
    C. Taylor, Sources of the Self: The Making of Modern Identity (Harvard University Press, Cambridge, MA, 1989)Google Scholar
  186. 186.
    D. Taylor, Beginning to Read and the Spin Doctors of Science: The Political Campaign to Change America’s Mind about How Children Learn to Read (National Council of Teachers of English, Urbana, 1998)Google Scholar
  187. 187.
    J.L. Tinker, B.E. Robertson, A.V. Kravtsov, A. Klypin, M.S. Warren, G. Yepes, S. Gottlober, The large scale bias of dark matter halos: numerical calibration and model tests. Astrophys. J. 724, 878–886 (2010). arXiv:1001.3162 ADSCrossRefGoogle Scholar
  188. 188.
    M. Tomasello, The Cultural Origins of Human Cognition (Harvard University Press, Boston, 1999)Google Scholar
  189. 189.
    M. Tomasello, Constructing a Language: A Usage-Based Theory of Language Acquisition (Harvard University Press, Boston, 2003)Google Scholar
  190. 190.
    C.J. Torgerson, G. Brooks, J. Hall, A Systematic Review of the Research Literature on the Use of Phonics in the Teaching of Reading and Spelling (DfES, London, 2006)Google Scholar
  191. 191.
    P.U. Tse, The Neural Basis of Free Will (MIT Press, 2013)Google Scholar
  192. 192.
    M.A. Turing, The chemical basis of morphogenesis. Philos. Trans. Roy. Soc. B 237, 37–72 (1952)ADSCrossRefGoogle Scholar
  193. 193.
    J.-P. Uzan, The big bang theory: construction, evolution, and status. L’UNIVERS, Séminaire Poincaré XX 1–69, (2015)Google Scholar
  194. 194.
    S. Vogel, Cats’ Paws and Catapults: Mechanical Worlds of Nature and People (W. W. Norton, 2000)Google Scholar
  195. 195.
    L.S. Vygotsky, Mind in Society (Harvard University Press, Cambridge, MA, 1978)Google Scholar
  196. 196.
    A. Wagner, Arrival of the Fittest: Solving Evolution’s Greatest Puzzle (Current, 2014)Google Scholar
  197. 197.
    S.I. Walker, P.C.W. Davies, The algorithmic origins of life. J. Roy. Soc. Interface 10 (2013). Google Scholar
  198. 198.
    S.I. Walker, L. Cisneros, P.C.W. Davies, Evolutionary transitions and top-down causation, in Proceedings of Artificial Life XIII (2013), pp. 283–290.
  199. 199.
    S.I. Walker, P.C.W. Davies, G.F.R. Ellis (eds.), Information and Causality: From Matter to Life (Cambridge University Press, Cambridge and New York, 2016)Google Scholar
  200. 200.
    J.D. Watson, Molecular Biology of the Gene (Cold Spring Harbor Laboratory Press, 2007)Google Scholar
  201. 201.
    S. Webster, Thinking about Biology (Cambridge University Press, Cambridge, 2003)CrossRefGoogle Scholar
  202. 202.
    G. Wells, The Meaning Makers (Heinemann, Portsmouth, NH, 1987)Google Scholar
  203. 203.
    J. Willis, The neuroscience of joyful education, Educational Leadership (ASCD). Summer 2007, vol. 64, Engaging the Whole Child (2007). ASCD website,

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© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Department of Mathematics and Applied MathematicsUniversity of Cape TownRondeboschSouth Africa

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