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  1. The probabilistic approach to human reasoning.Mike Oaksford & Nick Chater - 2001 - Trends in Cognitive Sciences 5 (8):349-357.
    A recent development in the cognitive science of reasoning has been the emergence of a probabilistic approach to the behaviour observed on ostensibly logical tasks. According to this approach the errors and biases documented on these tasks occur because people import their everyday uncertain reasoning strategies into the laboratory. Consequently participants' apparently irrational behaviour is the result of comparing it with an inappropriate logical standard. In this article, we contrast the probabilistic approach with other approaches to explaining rationality, and then (...)
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  • How our brains reason logically.Markus Knauff - 2007 - Topoi 26 (1):19-36.
    The aim of this article is to strengthen links between cognitive brain research and formal logic. The work covers three fundamental sorts of logical inferences: reasoning in the propositional calculus, i.e. inferences with the conditional “if...then”, reasoning in the predicate calculus, i.e. inferences based on quantifiers such as “all”, “some”, “none”, and reasoning with n-place relations. Studies with brain-damaged patients and neuroimaging experiments indicate that such logical inferences are implemented in overlapping but different bilateral cortical networks, including parts of the (...)
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  • Indeterminacy tolerance as a basis of hemispheric asymmetry within prefrontal cortex.Vinod Goel - 2015 - Frontiers in Human Neuroscience 9.
  • Learning context sensitive logical inference in a neurobiological simulation.Chris Eliasmith - 2004 - In Simon D. Levy & Ross Gayler (eds.), Compositional Connectionism in Cognitive Science. Aaai Press. pp. 17--20.