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Précis of Cognitive Gadgets: The Cultural Evolution of Thinking

Published online by Cambridge University Press:  26 September 2018

Cecilia Heyes*
Affiliation:
All Souls College and Department of Experimental Psychology, University of Oxford, Oxford OX1 4AL, United Kingdom. cecilia.heyes@all-souls.ox.ac.ukusers.ox.ac.uk/~ascch/

Abstract

Cognitive gadgets are distinctively human cognitive mechanisms – such as imitation, mind reading, and language – that have been shaped by cultural rather than genetic evolution. New gadgets emerge, not by genetic mutation, but by innovations in cognitive development; they are specialised cognitive mechanisms built by general cognitive mechanisms using information from the sociocultural environment. Innovations are passed on to subsequent generations, not by DNA replication, but through social learning: People with new cognitive mechanisms pass them on to others through social interaction. Some of the new mechanisms, like literacy, have spread through human populations, while others have died out, because the holders had more students, not just more babies. The cognitive gadgets hypothesis is developed through four case studies, drawing on evidence from comparative and developmental psychology, experimental psychology, and cognitive neuroscience. The framework employed – cultural evolutionary psychology, a descendant of evolutionary psychology and cultural evolutionary theory – addresses parallel issues across the cognitive and behavioural sciences. In common with evolutionary developmental biology (evo-devo) and the extended evolutionary synthesis, cultural evolutionary psychology underlines the importance of developmental processes and environmental factors in the emergence of human cognition. In common with computational approaches (deep learning, predictive coding, hierarchical reinforcement learning, causal modelling), it emphasises the power of general-purpose mechanisms of learning. Cultural evolutionary psychology, however, also challenges use of the behavioural gambit in economics and behavioural ecology, and rejects the view that human minds are composed of “innate modules” or “cognitive instincts.”

Type
Précis
Copyright
Copyright © Cambridge University Press 2019 

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References

Anderson, M. L. (2008) Circuit sharing and the implementation of intelligent systems. Connection Science 20(4):239–51.Google Scholar
Anderson, M. L. & Finlay, B. L. (2014) Allocating structure to function: The strong links between neuroplasticity and natural selection. Frontiers in Human Neuroscience 7:918.Google Scholar
Anisfeld, M. (1979) Interpreting “imitative” responses in early infancy. Science 205:214–15.Google Scholar
Anisfeld, M. (2005) No compelling evidence to dispute Piaget's timetable of the development of representational imitation in infancy. In: Perspectives on imitation: From cognitive neuroscience to social science, vol. 2, ed. Hurley, S. & Chater, N., pp. 107–31. MIT Press.Google Scholar
Apperly, I. A. (2010) Mindreaders: The cognitive basis of “theory of mind.” Psychology Press/Taylor & Francis Group.Google Scholar
Apps, M. A., Lesage, E. & Ramnani, N. (2015) Vicarious reinforcement learning signals when instructing others. Journal of Neuroscience 35(7):2904–13.Google Scholar
Aquinas, T. (1272/2015) Summa theologica. (Originally published 1272.) Xist.Google Scholar
Baer, D. M. & Sherman, J. A. (1964) Reinforcement control of generalized imitation in young children. Journal of Experimental Child Psychology 1(1):3749.Google Scholar
Bahrami, B., Olsen, K., Bang, D., Roepstorff, A., Rees, G. & Frith, C. (2012) Together, slowly but surely: The role of social interaction and feedback on the build-up of benefit in collective decision-making. Journal of Experimental Psychology: Human Perception and Performance 38(1):38.Google Scholar
Baillargeon, R., Scott, R. M. & He, Z. (2010) False-belief understanding in infants. Trends in Cognitive Sciences 14(3):110–18.Google Scholar
Bardi, L., Regolin, L. & Simion, F. (2011) Biological motion preference in humans at birth: Role of dynamic and configural properties. Developmental Science 14(2):353–59.Google Scholar
Bardi, L., Regolin, L. & Simion, F. (2014) The first time ever I saw your feet: Inversion effect in newborns’ sensitivity to biological motion. Developmental Psychology 50(4):986–93.Google Scholar
Barkow, J. H., Cosmides, L. & Tooby, J., ed. (1992) The adapted mind: Evolutionary psychology and the generation of culture. Oxford University Press.Google Scholar
Barrett, L. F. (2017) How emotions are made: The secret life of the brain. Houghton Mifflin Harcourt.Google Scholar
Behrens, T. E., Hunt, L. T., Woolrich, M. W. & Rushworth, M. F. (2008) Associative learning of social value. Nature 456(7219):245–49.Google Scholar
Berwick, R. C. & Chomsky, N. (2015) Why only us: Language and evolution. MIT Press.Google Scholar
Bird, G. & Heyes, C. (2005) Effector-dependent learning by observation of a finger movement sequence. Journal of Experimental Psychology: Human Perception and Performance 31(2):262–75.Google Scholar
Birdsong, D. & Molis, M. (2001) On the evidence for maturational constraints in second-language acquisition. Journal of Memory and Language 44(2):235–49.Google Scholar
Bloom, P. (2000) How children learn the meanings of words. MIT Press.Google Scholar
Boeckx, C. (2006) Linguistic minimalism: Origins, concepts, methods, and aims. Oxford University Press.Google Scholar
Bohannon, J. N., MacWhinney, B. & Snow, C. (1990) No negative evidence revisited: Beyond learnability or who has to prove what to whom. Developmental Psychology 26(2):221–26.Google Scholar
Boogert, N. J., Giraldeau, L.-A. & Lefebvre, L. (2008) Song complexity correlates with learning ability in zebra finch males. Animal Behaviour 76:1735–41.Google Scholar
Bornkessel-Schlesewsky, I., Schlesewsky, M., Small, S. L. & Rauschecker, J. P. (2015) Neurobiological roots of language in primate audition: Common computational properties. Trends in Cognitive Sciences 19(3):142–50.Google Scholar
Bouchard, J., Goodyer, W. & Lefebvre, L. (2007) Social learning and innovation are positively correlated in pigeons. Animal Cognition 10:259–66.Google Scholar
Boyd, R. & Richerson, P. J. (1985) Culture and the evolutionary process. University of Chicago Press.Google Scholar
Brusse, C. (2017) Making do without selection – review essay of “Cultural evolution: Conceptual challenges” by Tim Lewens. Biology & Philosophy 32(2):307–19.Google Scholar
Bull, R., Phillips, L. H. & Conway, C. A. (2008) The role of control functions in mentalizing: Dual-task studies of theory of mind and executive function. Cognition 107(2):663–72.Google Scholar
Butterfill, S. A. & Apperly, I. A. (2013) How to construct a minimal theory of mind. Mind & Language 28(5):606–37.Google Scholar
Butterfill, S., Apperly, I., Rakoczy, H., Spaulding, S. & Zawidzki, T. (2013) Symposium on Butterfill and Apperly's “How to construct a minimal theory of mind” (Mind and Language 28, 606–637). Available at: philosophyofbrains.com/2013/11/11/symposium-on-butterfill-and-apperlys-how-to-construct-a-minimal-theory-of-mind-mind-language-28-5-606-63.aspx.Google Scholar
Calvo-Merino, B., Grèzes, J., Glaser, D. E., Passingham, R. E. & Haggard, P. (2006) Seeing or doing? Influence of visual and motor familiarity in action observation. Current Biology 16(19):1905–10.Google Scholar
Campbell, D. T. (1965) Variation and selective retention in socio-cultural evolution. Social Change in Developing Areas 19:2627.Google Scholar
Campbell, D. T. (1974) Evolutionary epistemology. In: The philosophy of Karl Popper, ed. Schlipp, P. A., pp. 413–63. Open Court.Google Scholar
Carpenter, M. & Call, J. (2013) How joint is the joint attention of apes and human infants? In: Agency and joint attention, ed. Metcalf, J. & Terrace, H. S., pp. 4961. Oxford University Press.Google Scholar
Catmur, C., Press, C. & Heyes, C. M. (2016) Mirror neurons from associative learning. In: The Wiley handbook on the cognitive neuroscience of learning, ed. Murphy, R. A. & Honey, R. C., pp. 515–37. Wiley Blackwell.Google Scholar
Catmur, C., Walsh, V. & Heyes, C. M. (2009) Associative sequence learning: The role of experience in the development of imitation and the mirror system. Philosophical Transactions of the Royal Society B: Biological Sciences 364(1528):2369–80.Google Scholar
Cavalli-Sforza, L. L. & Feldman, M. W. (1981) Cultural transmission and evolution, vol. 16: A quantitative approach. (Monographs in population biology). Princeton University Press.Google Scholar
Changizi, M. A., Zhang, Q., Ye, H. & Shimojo, S. (2006) The structures of letters and symbols throughout human history are selected to match those found in objects in natural scenes. The American Naturalist 167(5):E11739.Google Scholar
Chomsky, N. (1965) Aspects of the theory of syntax. MIT Press.Google Scholar
Christiansen, M. H. & Chater, N. (2016) Creating language: Integrating evolution, acquisition, and processing. MIT Press.Google Scholar
Christiansen, M. H. & MacDonald, M. C. (2009) A usage-based approach to recursion in sentence processing. Language Learning 59(s1):126–61.Google Scholar
Cieri, R.L., Churchill, S.E., Franciscus, R.G., Tan, J., Hare, B., Athreya, S., Holliday, T.W., Nowell, A., Steele, T.E., Weaver, T.D. & Wrangham, R. (2014) Craniofacial feminization, social tolerance, and the origins of behavioral modernity. Current Anthropology 55(4):419–43.Google Scholar
Coltheart, M., Rastle, K., Perry, C., Langdon, R. & Ziegler, J. (2001) DRC: A dual route cascaded model of visual word recognition and reading aloud. Psychological Review 108(1):204.Google Scholar
Cook, R., Bird, G., Catmur, C., Press, C. & Heyes, C. (2014) Mirror neurons: From origin to function. Behavioral and Brain Sciences 37(2):177–92.Google Scholar
Cook, R. G., Brown, M. F. & Riley, D. A. (1985) Flexible memory processing by rats: Use of prospective and retrospective information in the radial maze. Journal of Experimental Psychology: Animal Behavior Processes 11(3):453–69.Google Scholar
Cowie, F. (2016) Innateness and language. In: The Stanford encyclopedia of philosophy (winter 2016 edition), ed. Zalta, E. N.. Available at: plato.stanford.edu/archives/win2016/entries/innateness–language.Google Scholar
Crain, S., Goro, T. & Thornton, R. (2006) Language acquisition is language change. Journal of Psycholinguistic Research 35(1):3149.Google Scholar
Culicover, P. W. & Jackendoff, R. (2005) Simpler syntax. Oxford University Press.Google Scholar
Dąbrowska, E. (2012) Different speakers, different grammars: Individual differences in native language attainment. Linguistic Approaches to Bilingualism 2(3):219–53.Google Scholar
Damuth, J. & Heisler, I. L. (1988) Alternative formulations of multilevel selection. Biology and Philosophy 3(4):407–30.Google Scholar
Darwin, C. (1868) The variation in animals and plants under domestication. John Murray.Google Scholar
Dawson, E. H., Avarguès-Weber, A., Chittka, L. & Leadbeater, E. (2013) Learning by observation emerges from simple associations in an insect model. Current Biology 23(8):727–30. [aCH].Google Scholar
Dehaene, S. & Cohen, L. (2011) The unique role of the visual word form area in reading. Trends in Cognitive Sciences 15(6):254–62.Google Scholar
de Klerk, C. C., Johnson, M. H., Heyes, C. M. & Southgate, V. (2015) Baby steps: Investigating the development of perceptual-motor couplings in infancy. Developmental Science 18(2):270–80.Google Scholar
Demetras, M. J., Post, K. N. & Snow, C. E. (1986) Feedback to first language learners: The role of repetitions and clarification questions. Journal of Child Language 13(2):275–92.Google Scholar
Dennett, D. C. (1990) Memes and the exploitation of imagination. The Journal of Aesthetics and Art Criticism 48(2):127–35.Google Scholar
Dennett, D. C. (1991) Consciousness explained. Little Brown.Google Scholar
De Villiers, P. A. & de Villiers, J. G. (2012) Deception dissociates from false belief reasoning in deaf children: Implications for the implicit versus explicit theory of mind distinction. British Journal of Developmental Psychology 30(1):188209.Google Scholar
De Waal, F. B. & Ferrari, P. F. (2010) Towards a bottom-up perspective on animal and human cognition. Trends in Cognitive Sciences 14(5):201–07.Google Scholar
Diaconescu, A. O., Mathys, C., Weber, L. A. E., Daunizeau, J., Kasper, L., Lomakina, E. I., Fehr, E. & Stephan, K. E. (2014) Inferring on the intentions of others by hierarchical Bayesian learning. PLoS Computational Biology 10(9):e1003810.Google Scholar
Diamond, A. (2013) Executive functions. Annual Review of Psychology 64:135–68. Available at: http://dx.doi.org/10.1146/annurev-psych-113011-143750.Google Scholar
Dickinson, A. (2012) Associative learning and animal cognition. Philosophical Transactions of the Royal Society B: Biological Sciences 367(1603):2733–42.Google Scholar
Dupierrix, E., de Boisferon, A. H., Méary, D., Lee, K., Quinn, P. C., Di Giorgio, E., Simion, F., Tomonaga, M. & Pascalis, O. (2014) Preference for human eyes in human infants. Journal of Experimental Child Psychology 123:138–46.Google Scholar
Efferson, C., Richerson, P. J., McElreath, R., Lubell, M., Edsten, E., Waring, T. M., Paciotti, B. & Baum, W. (2007) Learning, productivity, and noise: An experimental study of cultural transmission on the Bolivian Altiplano. Evolution and Human Behavior 28(1):1117.Google Scholar
Eriksson, K. (2012) The nonsense math effect. Judgment and Decision Making 7(6):746–49.Google Scholar
Evans, N. & Levinson, S. C. (2009) The myth of language universals: Language diversity and its importance for cognitive science. Behavioral and Brain Sciences 32(5):429–48.Google Scholar
Everett, D. L. (2005) Cultural constraints on grammar and cognition in Pirahã: Another look at the design features of human language. Current Anthropology 46(4):621–46.Google Scholar
Fagot, J. & Cook, R. G. (2006) Evidence for large long-term memory capacities in baboons and pigeons and its implications for learning and the evolution of cognition. Proceedings of the National Academy of Sciences 103(46):17564–67.Google Scholar
Fawcett, T. W., Hamblin, S. & Giraldeau, L. A. (2012) Exposing the behavioral gambit: The evolution of learning and decision rules. Behavioral Ecology 24(1):211.Google Scholar
Flege, J. E., Yeni-Komshian, G. H. & Liu, S. (1999) Age constraints on second-language acquisition. Journal of Memory and Language 41(1):78104.Google Scholar
Fleming, S. M., Dolan, R. J. & Frith, C. D. (2012) Metacognition: Computation, biology and function. Philosophical Transactions of the Royal Society B: Biological Sciences 367(1594):1280–86.Google Scholar
Floccia, C., Christophe, A. & Bertoncini, J. (1997) High-amplitude sucking and newborns: The quest for underlying mechanisms. Journal of Experimental Child Psychology 64(2):175–98.Google Scholar
Fodor, J. A. (1983) The modularity of mind. MIT Press.Google Scholar
Frith, U. (2001) Mind blindness and the brain in autism. Neuron 32(6):969–79.Google Scholar
Garcia, E., Baer, D. M. & Firestone, I. (1971) The development of generalized imitation within topographically determined boundaries. Journal of Applied Behavior Analysis 4(2):101–12.Google Scholar
Garvert, M. M., Moutoussis, M., Kurth-Nelson, Z., Behrens, T. E. & Dolan, R. J. (2015) Learning-induced plasticity in medial prefrontal cortex predicts preference malleability. Neuron 85(2):418–28.Google Scholar
Godfrey-Smith, P. (2009) Darwinian populations and natural selection. Oxford University Press.Google Scholar
Godfrey-Smith, P. (2012) Darwinism and cultural change. Philosophical Transactions of the Royal Society B: Biological Sciences 367(1599):2160–70. Available at: http://doi.org/10.1098/rstb.2012.0118.Google Scholar
Grusec, J. E. & Abramovitch, R. (1982) Imitation of peers and adults in a natural setting: A functional analysis. Child Development 53(3):636–42.Google Scholar
Güss, C. D. & Wiley, B. (2007) Metacognition of problem-solving strategies in Brazil, India, and the United States. Journal of Cognition and Culture 7(1):125.Google Scholar
Hakuta, K., Bialystok, E. & Wiley, E. (2003) Critical evidence: A test of the critical-period hypothesis for second-language acquisition. Psychological Science 14(1):3138.Google Scholar
Haun, D. B. M., Rapold, C. J., Cal, J., Janzen, G. & Levinson, S. C. (2006) Cognitive cladistics and cultural override in Hominid spatial cognition. Proceedings of the National Academy of Sciences USA 103(46):17568–73.Google Scholar
Heine, S.J., Kitayama, S., Lehman, D. R., Takata, T., Ide, E., Leung, C. & Matsumoto, H. (2001) Divergent consequences of success and failure in Japan and North America: An investigation of self-improving motivations and malleable selves. Journal of Personality and Social Psychology 81(4):599615.Google Scholar
Henrich, J. (2004b) Demography and cultural evolution: How adaptive cultural processes can produce maladaptive losses: The Tasmanian case. American Antiquity 69(2):197214.Google Scholar
Henrich, J. (2015) The secret of our success: How culture is driving human evolution, domesticating our species and making us smarter. Princeton University Press.Google Scholar
Henrich, J. & Broesch, J. (2011) On the nature of cultural transmission networks: Evidence from Fijian villages for adaptive learning biases. Philosophical Transactions of the Royal Society B: Biological Sciences 366(1567):1139–48.Google Scholar
Heyes, C. (2012a) Grist and mills: On the cultural origins of cultural learning. Philosophical Transactions of the Royal Societ y B: Biological Sciences 367(1599):2181–91.Google Scholar
Heyes, C. (2018) Cognitive gadgets: The cultural evolution of thinking. Harvard University Press.Google Scholar
Heyes, C. M. (1994) Social learning in animals: Categories and mechanisms. Biological Reviews 69(2):207–31.Google Scholar
Heyes, C. M. (2003) Four routes of cognitive evolution. Psychological Review 110(4):713–27. [aCH]Google Scholar
Heyes, C. M. (2011) Automatic imitation. Psychological Bulletin 137(3):463–83.Google Scholar
Heyes, C. M. (2012b) Simple minds: A qualified defence of associative learning. Philosophical Transactions of the Royal Society B: Biological Sciences 367(1603):2695–703.Google Scholar
Heyes, C. M. (2012c) What's social about social learning? Journal of Comparative Psychology 126(2):193.Google Scholar
Heyes, C. M. (2013) What can imitation do for cooperation? In: Cooperation and its evolution, ed. Sterelny, K., Joyce, R., Calcott, B. & Fraser, B., pp. 313–31. MIT Press.Google Scholar
Heyes, C. M. (2014a) Submentalizing: I am not really reading your mind. Perspectives on Psychological Science 9(2):131–43.Google Scholar
Heyes, C. M. (2014b) False belief in infancy: A fresh look. Developmental Science 17(5):647–59.Google Scholar
Heyes, C. M. (2015) Animal mindreading: What's the problem? Psychonomic Bulletin and Review 22(2):313–27.Google Scholar
Heyes, C. M. (2016a) Blackboxing: Social learning strategies and cultural evolution. Philosophical Transactions of the Royal Society B 371:20150369.Google Scholar
Heyes, C. M. (2016d) Who knows? Metacognitive social learning strategies. Trends in Cognitive Sciences 20:204–13.Google Scholar
Heyes, C. M. (2017a) Enquire within: Cultural evolution and cognitive science. Philosophical Transactions of the Royal Society B: Biological Sciences 373(1743):20170051.Google Scholar
Heyes, C. M. (2017b) Apes submentalise. Trends in Cognitive Sciences 21(1):12.Google Scholar
Heyes, C. M. & Frith, C. D. (2014) The cultural evolution of mind reading. Science 344(6190):1243091.Google Scholar
Heyes, C. M. & Pearce, J. M. (2015) Not-so-social learning strategies. Proceedings of the Royal Society B: Biological Sciences 282(1802):20141709.Google Scholar
Heyes, C. M. & Ray, E. D. (2000) What is the significance of imitation in animals? Advances in the Study of Behavior 29:215–45.Google Scholar
Hill, M. R., Boorman, E. D. & Fried, I. (2016) Observational learning computations in neurons of the human anterior cingulate cortex. Nature Communications 7:12722. doi: 10.1038/ncomms12722.Google Scholar
Holland, P. C. (1992) Occasion setting in Pavlovian conditioning. Psychology of Learning and Motivation 28:69125.Google Scholar
Hood, B. M., Willen, J. D. & Driver, J. (1998) Adult's eyes trigger shifts of visual attention in human infants. Psychological Science 9(2):131–34.Google Scholar
Hsu, H. J. & Bishop, D. V. (2014) Sequence-specific procedural learning deficits in children with specific language impairment. Developmental Science 17(3):352–65.Google Scholar
Hsu, H. J., Tomblin, J. B. & Christiansen, M. H. (2014) Impaired statistical learning of non-adjacent dependencies in adolescents with specific language impairment. Frontiers in Psychology 5: Article ID 175.Google Scholar
Hughes, C., Jaffee, S. R., Happé, F., Taylor, A., Caspi, A. & Moffitt, T. E. (2005) Origins of individual differences in theory of mind: From nature to nurture? Child Development 76(2):356–70.Google Scholar
Hurks, P. P. M. (2012) Does instruction in semantic clustering and switching enhance verbal fluency in children? Clinical Neuropsychology 26(6):1019–37.Google Scholar
Ivanova, M. V., Isaev, D. Y., Dragoy, O. V., Akinina, Y. S., Petrushevskiy, A. G., Fedina, O. N., Shklovsky, V.M. & Dronkers, N. F. (2016) Diffusion-tensor imaging of major white matter tracts and their role in language processing in aphasia. Cortex 85:165–81.Google Scholar
Jacobson, S. W. & Kagan, J. (1979) Interpreting “imitative” responses in early infancy. Science 205(4402):215–17.Google Scholar
Jelinek, E. (1995) Quantification in Straits Salish. In: Quantification in natural languages, ed. Bach, E., Jelinek, E., Kratzer, A. & Partee, B., pp. 487540. Kluwer.Google Scholar
Johnson, M. H., Dziurawiec, S., Ellis, H. & Morton, J. (1991) Newborns’ preferential tracking of face-like stimuli and its subsequent decline. Cognition 40(1):119.Google Scholar
Jones, S. S. (2006) Exploration or imitation? The effect of music on 4-week-old infants’ tongue protrusions. Infant Behavior and Development 29(1):126–30.Google Scholar
Jones, S. S. (2007) Imitation in infancy: The development of mimicry. Psychological Science 18:593–99.Google Scholar
Jones, S. S. (2009) The development of imitation in infancy. Philosophical Transactions of the Royal Society B: Biological Sciences 364(1528):2325–35.Google Scholar
Karmiloff-Smith, A. (1995) Beyond modularity: A developmental perspective on cognitive science. MIT Press.Google Scholar
Kidd, D. C. & Castano, E. (2013) Reading literary fiction improves theory of mind. Science 342(6156):377–80.Google Scholar
Kidd, E. (2012) Implicit statistical learning is directly associated with the acquisition of syntax. Developmental Psychology 48(1):171–84.Google Scholar
Kidd, E. & Arciuli, J. (2016) Individual differences in statistical learning predict children's comprehension of syntax. Child Development 87(1):184–93.Google Scholar
Kline, M. A. & Boyd, R. (2010) Population size predicts technological complexity in Oceania. Proceedings of the Royal Society B: Biological Sciences 277(1693):2559–64.Google Scholar
Koepke, J. E., Hamm, M., Legerstee, M. & Russell, M. (1983) Neonatal imitation: Two failures to replicate. Infant Behavior and Development 6(1):97102.Google Scholar
Kovács, Á. M., Téglás, E. & Endress, A. D. (2010) The social sense: Susceptibility to others’ beliefs in human infants and adults. Science 330(6012):1830–34.Google Scholar
Krupenye, C., Kano, F., Hirata, S., Call, J. & Tomasello, M. (2016) Great apes anticipate that other individuals will act according to false beliefs. Science 354(6308):110–14.Google Scholar
Kuo, Z. Y. (1922) How are our instincts acquired? Psychological Review 29(5):344–65.Google Scholar
Lake, B. M., Ullman, T. D., Tenenbaum, J. B. & Gershman, S. J. (2017) Building machines that learn and think like people. Behavioral and Brain Sciences 40:e253.Google Scholar
Laland, K. N., Uller, T., Feldman, M. W., Sterelny, K., Müller, G. B., Moczek, A., Jablonka, E. & Odling-Smee, J. (2015) The extended evolutionary synthesis: Its structure, assumptions and predictions. Proceedings of the Royal Society B: Biological Sciences 282(1813):20151019.Google Scholar
Leadbeater, E. (2015) What evolves in the evolution of social learning? Journal of Zoology 295(1):411.Google Scholar
Legare, C. H. & Nielsen, M. (2015) Imitation and innovation: The dual engines of cultural learning. Trends in Cognitive Sciences 19(11):688–99.Google Scholar
Leighton, J. & Heyes, C. M. (2010) Hand to mouth: Automatic imitation across effector systems. Journal of Experimental Psychology: Human Perception and Performance 36(5):1174–83.Google Scholar
Lenneberg, E. H. (1967) The biological foundations of language. Wiley.Google Scholar
Lepage, J. F. & Théoret, H. (2007) The mirror neuron system: Grasping others’ actions from birth? Developmental Science 10(5):513–23.Google Scholar
Lewens, T. (2015) Cultural evolution: Conceptual challenges. Oxford University Press.Google Scholar
Lewis, C., Freeman, N. H., Kyriakidou, C., Maridaki-Kassotaki, K. & Berridge, D. M. (1996) Social influences on false belief access: Specific sibling influences or general apprenticeship? Child Development 67(6):2930–47.Google Scholar
Lipton, P. (2003) Inference to the best explanation. Routledge.Google Scholar
Lohmann, H. & Tomasello, M. (2003) The role of language in the development of false belief understanding: A training study. Child Development 74(4):1130–44.Google Scholar
Lorenz, K. (1965) Evolution and modification of behavior. University of Chicago Press.Google Scholar
Lorenz, K. (1969) Innate bases of learning. In: On the biology of learning, ed. Pribram, K. H., pp. 7792. Harcourt, Brace & World.Google Scholar
Lumsden, C. J. & Wilson, E. O. (2005) Genes, mind, and culture: The coevolutionary process. World Scientific.Google Scholar
Lyons, D. E., Young, A. G. & Keil, F. C. (2007) The hidden structure of overimitation. Proceedings of the National Academy of Sciences USA 104(50):19751–56.Google Scholar
Machery, E. (2008) A plea for human nature. Philosophical Psychology 21(3):321–29.Google Scholar
Machery, E. (2018) A plea for human nature, redux. In: Why we disagree about human nature, ed. Hannon, E. & Lewens, T., pp. 1839. Oxford University Press.Google Scholar
MacLean, E. L., Hare, B., Nunn, C. L., Addessi, E., Amici, F., Anderson, R. C., Aureli, F., Baker, J. M., Bania, A. E., Barnard, A. M., Boogert, N. J., Brannon, E. M., Bray, E. E., Bray, J., Brent, L. J. N., Burkart, J. M., Call, J., Cantlon, J. F., Cheke, L. G., Clayton, N. S., Delgado, M. M., DiVincenti, L. J., Fujita, K., Herrmann, E., Hiramatsu, C., Jacobs, L. F., Jordan, K. E., Laude, J. R., Leimgruber, K. L., Messer, E. J. E., Moura, A. C. de A., Ostojić, L., Picard, A., Platt, M. L., Plotnik, J. M., Range, F., Reader, S. M., Reddy, R. B., Sandel, A. A., Santos, L. R., Schumann, K., Seed, A. M., Sewall, K. B., Shaw, R. C., Slocombe, K. E., Su, Y., Takimoto, A., Tan, J., Tao, R., van Schaik, C. P., Virányi, Z., Vesalberghi, E., Wade, J. C., Watanabe, A., Widness, J., Young, J. K., Zentall, T. R. & Zhao, Y. (2014) The evolution of self-control. Proceedings of the National Academy of Sciences USA 111(20):E214048.Google Scholar
MacPhail, E. M. (1982) Brain and intelligence in vertebrates, p. 423. Clarendon Press.Google Scholar
Mahmoodi, A., Bang, D., Ahmadabadi, M. N. & Bahrami, B. (2013) Learning to make collective decisions: The impact of confidence escalation. PLoS One 8:e81195.Google Scholar
Masters, J. C. (1979) Interpreting “imitative” responses in early infancy. Science 205:215.Google Scholar
Matzel, L. D. & Kolata, S. (2010) Selective attention, working memory, and animal intelligence. Neuroscience and Biobehavioral Reviews 34(1):2330.Google Scholar
Mayer, A. & Träuble, B. E. (2013) Synchrony in the onset of mental state understanding across cultures? A study among children in Samoa. International Journal of Behavioral Development 37(1):2128. Available at: http://doi.org/10.1177/0165025412454030.Google Scholar
McGeer, V. (2007) The regulative dimension of folk psychology. In: Folk psychology re–assessed, ed. Hutto, D. D. & Ratcliffe, M., pp. 137–56. Springer.Google Scholar
McKenzie, B. & Over, R. (1983) Young infants fail to imitate facial and manual gestures. Infant Behavior and Development 6(1):8595.Google Scholar
Meins, E. (2012) Social relationships and children's understanding of mind: Attachment, internal states, and mind-mindedness. In: Access to language and cognitive development, ed. Siegal, M. & Surian, L., pp. 2343. Oxford University Press.Google Scholar
Meltzoff, A. N. & Moore, M. K. (1977) Imitation of facial and manual gestures by human neonates. Science 198(4312):7578.Google Scholar
Meltzoff, A.N. & Moore, M. K. (1979) Interpreting “imitative” responses in early infancy. Science 205(4402):217–19.Google Scholar
Meltzoff, A.N. & Moore, M. K. (1997) Explaining facial imitation: A theoretical model. Early Development and Parenting 6(3–4):179–92.Google Scholar
Meristo, M., Hjelmquist, E. & Morgan, G. (2012) How access to language affects theory of mind in deaf children. In: Access to language and cognitive development, pp. 4462. Oxford University Press.Google Scholar
Mesoudi, A., Chang, L., Murray, K. & Lu, H. J. (2015) Higher frequency of social learning in China than in the West shows cultural variation in the dynamics of cultural evolution. Proceedings of the Royal Society B: Biological Sciences 282(1798):20142209.Google Scholar
Millikan, R.G. (1984) Language, thought, and other biological categories: New foundations for realism. MIT Press.Google Scholar
Misyak, J. B. & Christiansen, M. H. (2012) Statistical learning and language: An individual differences study. Language Learning 62(1):302–31.Google Scholar
Moerk, E. L. (1991) Positive evidence for negative evidence. First Language 11(32):219–51.Google Scholar
Moore, C. & Corkum, V. (1994) Social understanding at the end of the first year of life. Developmental Review 14(4):349–72.Google Scholar
Moore, R. (2016) Gricean communication and cognitive development. The Philosophical Quarterly 67(267):303–26.Google Scholar
Moore, R. (2017) Social cognition, stag hunts, and the evolution of language. Biology and Philosophy 32(6):797818.Google Scholar
Morin, O. (2015) How traditions live and die. Oxford University Press.Google Scholar
Muthukrishna, M. & Henrich, J. (2016) Innovation in the collective brain. Philosophical Transactions of the Royal Society B: Biological Sciences 371(1690):20150192.Google Scholar
Nettle, D., Gibson, M. A., Lawson, D. W. & Sear, R. (2013) Human behavioral ecology: Current research and future prospect. Behavioral Ecology 24:1031–40.Google Scholar
Nile, E. & Van Bergen, P. (2015) Not all semantics: Similarities and differences in reminiscing function and content between indigenous and non-indigenous Australians. Memory 23(1):8398.Google Scholar
Nisbett, R. (2010) The geography of thought: How Asians and Westerners think differently … and why. Simon & Schuster.Google Scholar
O'Brien, K., Slaughter, V. & Peterson, C. C. (2011) Sibling influences on theory of mind development for children with ASD. Journal of Child Psychology and Psychiatry 52(6):713–19.Google Scholar
Okasha, S. (2005) Multilevel selection and the major transitions in evolution. Philosophy of Science 72(5):1013–25.Google Scholar
Onishi, K. H. & Baillargeon, R. (2005) Do 15-month-old infants understand false beliefs? Science 308(5719):255–58.Google Scholar
Oostenbroek, J., Suddendorf, T., Nielsen, M., Redshaw, J., Kennedy-Costantini, S., Davis, J., Clark, S. & Slaughter, V. (2016) Comprehensive longitudinal study challenges the existence of neonatal imitation in humans. Current Biology 26(10):1334–38.Google Scholar
Paracchini, S., Scerri, T. & Monaco, A. P. (2007) The genetic lexicon of dyslexia. Annual Review of Genomics and Human Genetics 8:5779.Google Scholar
Passingham, R. E. (2008) What is special about the human brain? Oxford University Press.Google Scholar
Passingham, R. E. & Smaers, J. B. (2014) Is the prefrontal cortex especially enlarged in the human brain? Allometric relations and remapping factors. Brain, Behavior and Evolution 84(2):156–66.Google Scholar
Paulus, M., Hunnius, S., Vissers, M. & Bekkering, H. (2011) Imitation in infancy: Rational or motor resonance? Child Development 82(4):1047–57.Google Scholar
Pearce, J. M. (2013) Animal learning and cognition: An introduction. Taylor & Francis.Google Scholar
Perner, J. (2010) Who took the cog out of cognitive science? In: Cognition and neuropsychology: International perspectives on psychological science, vol. 1, ed. Frensch, P. A. & Schwarzer, R., pp. 241–61. Psychology Press.Google Scholar
Petersen, S. E. & Posner, M. I. (2012) The attention system of the human brain: 20 Years after. Annual Review of Neuroscience 35:7389.Google Scholar
Pinker, S. (1994) The language instinct: The new science of language and mind, vol. 7529. Penguin Press.Google Scholar
Pinker, S. & Bloom, P. (1990) Natural language and natural selection. Behavioral and Brain Sciences 13(4):707–27.Google Scholar
Pinker, S. & Jackendoff, R. (2005) The faculty of language: What's special about it? Cognition 95(2):201–36.Google Scholar
Poldrack, R. A. (2006) Can cognitive processes be inferred from neuroimaging data? Trends in Cognitive Science 10(2):5963. doi: 10.1016/j.tics.2005.12.004.Google Scholar
Press, C., Bird, G., Flach, R. & Heyes, C. (2005) Robotic movement elicits automatic imitation. Cognitive Brain Research 25(3):632–40.Google Scholar
Pyers, J. E. & Senghas, A. (2009) Language promotes false-belief understanding: Evidence from learners of a new sign language. Psychological Science 20(7):805–12. Available at: https://doi.org/10.1111/j.1467-9280.2009.02377.x.Google Scholar
Qureshi, A. W., Apperly, I. A. & Samson, D. (2010) Executive function is necessary for perspective selection, not Level–1 visual perspective calculation: Evidence from a dual–task study of adults. Cognition 117(2):230–36.Google Scholar
Ray, E. & Heyes, C. (2011) Imitation in infancy: The wealth of the stimulus. Developmental Science 14(1):92105.Google Scholar
Reader, S. M., Hager, Y. & Laland, K. N. (2011) The evolution of primate general and cultural intelligence. Philosophical Transactions of the Royal Society B: Biological Sciences 366(1567):1017–27.Google Scholar
Reid, V. M., Dunn, K., Young, R. J., Amu, J., Donovan, T. & Reissland, N. (2017) The human fetus preferentially engages with face-like visual stimuli. Current Biology 27:1825–28.Google Scholar
Reimers-Kipping, S., Hevers, W., Pääbo, S. & Enard, W. (2011) Humanized FOXP2 specifically affects cortico-basal ganglia circuits. Neuroscience 175:7584.Google Scholar
Rescorla, R. A. (1988) Pavlovian conditioning: It's not what you think it is. American Psychologist 43(3):151.Google Scholar
Richerson, P. J. & Boyd, R. (2013) Rethinking paleoanthropology: A world queerer than we supposed. In: Evolution of mind, brain, and culture, ed. Hatfield, G. & Pittman, H., pp. 263302. University of Pennsylvania Press.Google Scholar
Rilling, J. K. (2014) Comparative primate neuroimaging: Insights into human brain evolution. Trends in Cognitive Sciences 18(1):4655.Google Scholar
Roney, J. J. (2016) Theoretical frameworks for human behavioral endocrinology. Hormones and Behavior 84:97110.Google Scholar
Salmon, K. & Reese, E. (2016) The benefits of reminiscing with young children. Current Directions in Psychological Science 25(4):233–38.Google Scholar
Samuels, R. (2004) Innateness in cognitive science. Trends in Cognitive Sciences 8(3):136–41.Google Scholar
Samuels, R. (2012) Science and human nature. Royal Institute of Philosophy Supplement 70:128. doi: 10.1017/S1358246112000021.Google Scholar
Schreiweis, C., Bornschein, U., Burguière, E., Kerimoglu, C., Schreiter, S., Dannemann, M., Goyal, S., Rea, E., French, C. A., Puliyadi, R. & Groszer, M. (2014) Humanized FOXP2 accelerates learning by enhancing transitions from declarative to procedural performance. Proceedings of the National Academy of Sciences 111(39):14253–58.Google Scholar
Senju, A. & Csibra, G. (2008) Gaze following in human infants depends on communicative signals. Current Biology 18(9):668–71.Google Scholar
Senju, A., Southgate, V., White, S. & Frith, U. (2009) Mindblind eyes: An absence of spontaneous theory of mind in Asperger syndrome. Science 325(5942):883–85.Google Scholar
Shahaeian, A., Peterson, C. C., Slaughter, V. & Wellman, H. M. (2011) Culture and the sequence of steps in theory of mind development. Developmental Psychology 47(5):1239–47.Google Scholar
Shea, N. (2013) Inherited representations are read in development. The British Journal for the Philosophy of Science 64(1):131.Google Scholar
Shettleworth, S. J. (2010) Cognition, evolution, and behavior. Oxford University Press.Google Scholar
Shiraev, E. & Levy, D. A. (2014) Cross-cultural psychology. Pearson Education Limited.Google Scholar
Slaughter, V. & Peterson, C. C. (2012) How conversational input shapes theory of mind development in infancy and early childhood. In: Access to language and cognitive development, ed. Siegal, M. & Surian, L., pp. 322. Oxford University Press.Google Scholar
Sperber, D. (1996) Explaining culture: A naturalistic approach. Blackwell Publishers.Google Scholar
Sperber, D. (2000) An objection to the memetic approach to culture. In: Darwinizing culture: The status of memetics as a science, ed. Aunger, R., pp. 163–74. Oxford University Press.Google Scholar
Sperber, D. & Wilson, D. (1995) Relevance: Communication and cognition, 2nd edition. Cambridge University Press.Google Scholar
Sterelny, K. (2018) Culture and the extended phenotype: Cognition and material culture in deep time. In: The Oxford handbook of cognition: Embodied, embedded, enactive and extended, ed. Newen, A., de Bruin, L. & Gallagher, S., pp. 96106. Oxford University Press.Google Scholar
Street, J. A. & Dąbrowska, E. (2010) More individual differences in language attainment: How much do adult native speakers of English know about passives and quantifiers? Lingua 120(8):2080–94.Google Scholar
Tarr, B., Launay, J., Cohen, E. & Dunbar, R. (2015) Synchrony and exertion during dance independently raise pain threshold and encourage social bonding. Biology Letters 11(10):20150767.Google Scholar
Taumoepeau, M. (2016) Maternal expansions of child language relate to growth in children's vocabulary. Language Learning and Development 12(4):429–46.Google Scholar
Taumoepeau, M. & Ruffman, T. (2006) Mother and infant talk about mental states relates to desire language and emotion understanding. Child Development 77(2):465–81.Google Scholar
Taumoepeau, M. & Ruffman, T. (2008) Stepping stones to others’ minds: Maternal talk relates to child mental state language and emotion understanding at 15, 24, and 33 months. Child Development 79(2):284302. Available at: http://doi.org/10.1111/j.1467-8624.2007.01126.x.Google Scholar
Tinbergen, N. (1963). On aims and methods in ethology. Zeitschrift für Tierpsychologie 20:410–33. doi: 10.1111/j.1439-0310.1963.tb01161.x.Google Scholar
Toelch, U., Bruce, M., Newson, L., Richerson, P. J. & Reader, S. M. (2014) Individual consistency and flexibility in human social information use. Proceedings of the Royal Society B: Biological Sciences 281(1776):20132864.Google Scholar
Tomasello, M. (1999) The cultural origins of human cognition. Harvard University Press.Google Scholar
Tomblin, J. B., Mainela-Arnold, E. & Zhang, X. (2007) Procedural learning in adolescents with and without specific language impairment. Language Learning and Development 3(4):269–93.Google Scholar
Triesch, J., Teuscher, C., Deák, G. O. & Carlson, E. (2006) Gaze following: Why (not) learn it? Developmental Science 9(2):125–47.Google Scholar
Tunçgenç, B. & Cohen, E. (2016) Movement synchrony forges social bonds across group divides. Frontiers in Psychology 7:782.Google Scholar
Van Overwalle, F. (2009) Social cognition and the brain: A meta-analysis. Human Brain Mapping 30(3):829–58.Google Scholar
Vecera, S. P. & Johnson, M. H. (1995) Gaze detection and the cortical processing of faces: Evidence from infants and adults. Visual Cognition 2(1):5987.Google Scholar
Vouloumanos, A. & Werker, J. F. (2007) Listening to language at birth: Evidence for a bias for speech in neonates. Developmental Science 10(2):159–64.Google Scholar
Washburn, M. F. (1908) The animal mind. Macmillan.Google Scholar
Watson, J. B. (1930) Behaviorism. Phoenix.Google Scholar
Werker, J. F. & Hensch, T. K. (2015) Critical periods in speech perception: New directions. Annual Review of Psychology 66:173–96.Google Scholar
West-Eberhard, M. J. (2003) Developmental plasticity and evolution. Oxford University Press.Google Scholar
West-Eberhard, M. J. (2005) Developmental plasticity and the origin of species differences. Proceedings of the National Academy of Sciences 102(1):6543–49.Google Scholar
Whiten, A. & Ham, R. (1992) On the nature and evolution of imitation in the animal kingdom: Reappraisal of a century of research. Advances in the Study of Behavior 21:239.Google Scholar
Wilkins, A.S., Wrangham, R. W. & Fitch, W. T. (2014) The “domestication syndrome” in mammals: A unified explanation based on neural crest cell behavior and genetics. Genetics 197(3):795808.Google Scholar
Wilkinson, A., Kuenstner, K., Mueller, J. & Huber, L. (2010) Social learning in a non-social reptile. Biology Letters 6:614–16.Google Scholar
Wilson, B., Slater, H., Kikuchi, Y., Milne, A. E., Marslen-Wilson, W. D., Smith, K. & Petkov, C. I. (2013) Auditory artificial grammar learning in macaque and marmoset monkeys. Journal of Neuroscience 33(48):18825–35.Google Scholar
Wilson, E. O. (1975) Sociobiology: The new synthesis. Harvard University Press.Google Scholar
Young, J. M., Krantz, P. J., McClannahan, L. E. & Poulson, C. L. (1994) Generalized imitation and response-class formation in children with autism. Journal of Applied Behavior Analysis 27(4):685–97.Google Scholar
Zilles, K. (2005) Evolution of the human brain and comparative cyto- and receptor architecture. In: From monkey brain to human brain, ed. Dehaene, S., Duhamel, J. R., Hauser, M. D. & Rizzolatti, G., pp. 4156. MIT Press.Google Scholar
Li, J. (2003) US and Chinese cultural beliefs about learning. Journal of Educational Psycholology 95(2):258–67.Google Scholar