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So, are we the massively lucky species?

  • Derek C. Penn (a1), Keith J. Holyoak (a1) and Daniel J. Povinelli (a2)
Abstract
Abstract

We are in vehement agreement with most of Vaesen's key claims. But Vaesen fails to consider or rebut the possibility that there are deep causal dependencies among the various cognitive traits he identifies as uniquely human. We argue that “higher-order relational reasoning” is one such linchpin trait in the evolution of human tool use, social intelligence, language, and culture.

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W. Ahn , C. Kalish , D. Medin & S. Gelman (1995) The role of covariation versus mechanism information in causal attribution. Cognition 54:299352.

G. Andrews , G. S. Halford , K. M. Bunch , D. Bowden & T. Jones (2003) Theory of mind and relational complexity. Child Development 74(5):1476–99.

P. W. Cheng (1993) Separating causal laws from casual facts: Pressing the limits of statistical relevance. In: The psychology of learning and motivationvol. 30, ed. D. L. Medin , pp. 215–64. Academic Press.

P. W. Cheng (1997) From covariation to causation: A causal power theory. Psychological Review 104:367405.

S. Cho , T. D. Moody , L. Fernandino , J. A. Mumford , R. A. Poldrack , T. D. Cannon , B. J. Knowlton & K. J. Holyoak (2010) Common and dissociable prefrontal loci associated with component mechanisms of analogical reasoning. Cerebral Cortex 20:524–33.

R. L. Gomez & L. Gerken (2000) Infant artificial language learning and language acquisition. Trends in Cognitive Sciences 4(5):178–86.

A. Gopnik & L. Schulz eds. (2007) Causal learning: Psychology, philosophy, and computation. Oxford University Press.

G. S. Halford , W. H. Wilson & S. Phillips (1998) Processing capacity defined by relational complexity: Implications for comparative, developmental, and cognitive psychology. Behavioral and Brain Sciences 21(6):803–31; discussion 831–64.

K. J. Holyoak & P. W. Cheng (2011) Causal learning and inference as a rational process: The new synthesis. Annual Review of Psychology 62:135–63.

D. A. Lagnado , M. R. Waldmann , Y. Hagmayer & S. A. Sloman (2007) Beyond covariation: Cues to causal structure. In: Causal learning: Psychology, philosophy, and computation. ed. A. Gopnik & L. Schulz , pp. 154–72. Oxford University Press.

D. C. Penn & D. J. Povinelli (2007a) Causal cognition in human and nonhuman animals: A comparative, critical review. Annual Review of Psychology. 58:97118.

D. C. Penn , K. Holyoak & D. J. Povinelli (2008) Darwin's mistake: Explaining the discontinuity between human and nonhuman minds. Behavioral and Brain Sciences 31(2):109–78.

S. Pinker & R. Jackendoff (2005) The faculty of language: What's special about it? Cognition 95:201–36.

J. B. Tenenbaum , T. L. Griffiths & C. Kemp (2006) Theory-based Bayesian models of inductive learning and reasoning. Trends in Cognitive Sciences 10(7):309–18.

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Behavioral and Brain Sciences
  • ISSN: 0140-525X
  • EISSN: 1469-1825
  • URL: /core/journals/behavioral-and-brain-sciences
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