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1
Dynamic inference and everyday conditional reasoning in the new paradigm
Oaksford, Mike; Chater, N.. - : Psychology Press, 2016
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2
Probabilistic single function dual process theory and logic programming as approaches to non-monotonicity in human vs. artificial reasoning
Oaksford, Mike; Chater, N.. - : Taylor and Francis, 2014
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3
Normative systems: logic, probability, and rational choice
Chater, N.; Oaksford, Mike. - : Oxford University Press, 2012
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4
The Biological Origin of Linguistic Diversity
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5
The mental representation of causal conditional reasoning: mental models or causal models
Nilufa, A.; Chater, N.; Oaksford, Mike. - : Elsevier, 2011
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6
The probabilistic analysis of language acquisition: Theoretical, computational, and experimental analysis
In: COGNITION , 120 (3) 380 - 390. (2011) (2011)
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7
The Logical Problem of Language Acquisition: A Probabilistic Perspective
In: COGNITIVE SCI , 34 (6) 972 - 1016. (2010) (2010)
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8
Probabilistic language acquisition: Theoretical, Computational and Experimental analysis.
In: In: Proceedings of the 32nd Annual Conference of the Cognitive Science Society. (2010) (2010)
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9
The biological and cultural foundations of language.
In: Commun Integr Biol , 2 (3) pp. 221-222. (2009) (2009)
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10
Restrictions on biological adaptation in language evolution
In: P NATL ACAD SCI USA , 106 (4) 1015 - 1020. (2009) (2009)
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11
Restrictions on biological adaptation in language evolution
In: (ELSE Working Papers 329). ESRC Centre for Economic Learning and Social Evolution: London, UK. (2009) (2009)
Abstract: Language acquisition and processing are governed by genetic constraints. A crucial unresolved question is how far these genetic constraints have co-evolved with language, perhaps resulting in a highly specialized, and species-specific language “module”; and how far language acquisition and processing redeploy pre-existing cognitive machinery. Here, we aim to understand the circumstances under which genes encoding language-specific properties could co-evolve with language itself. We present a theoretical model, implemented in computer simulations, of key aspects of the interaction of genes and language. Our results show that genes for language could only have co-evolved with highly stable aspects of the linguistic environment: a fast changing linguistic environment does not provide a stable target for natural selection. Hence, a biological endowment cannot co-evolve with properties of language that began as learned cultural conventions, because cultural conventions change much more rapidly than genes. We argue that this rules out the possibility that arbitrary properties of language, including abstract syntactic principles governing phrase structure, case marking, and agreement, have been built into a “language module” by natural selection. The genetic basis of human language acquisition and processing did not co-evolve with language, but primarily pre-dates the emergence of language. As suggested by Darwin, the fit between language and its underlying mechanisms arose because language has evolved to fit the human brain, rather than the reverse.
URL: http://discovery.ucl.ac.uk/15004/
http://discovery.ucl.ac.uk/15004/1/15004.pdf
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12
Serial and free recall: Common effects and common mechanisms? A reply to Murdock (2008)
In: PSYCHOL REV , 115 (3) 781 - 785. (2008) (2008)
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13
Using statistical smoothing to estimate the psycholinguistic acceptability of novel phrases
In: BEHAV RES METHODS , 40 (1) 84 - 93. (2008) (2008)
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14
Language as shaped by the brain
In: BEHAV BRAIN SCI , 31 (5) 489 - 509. (2008) (2008)
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15
Inference from absence in language and thought
Hahn, Ulrike; Oaksford, Mike. - : Oxford University Press, 2008
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16
Two views of simplicity in linguistic theory: Which connects better with cognitive science?
In: Trends in Cognitive Science , 8 pp. 324-326. (2007) (2007)
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17
A temporal ratio model of memory
In: PSYCHOL REV , 114 (3) 539 - 576. (2007) (2007)
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18
The phonological-distributional coherence hypothesis: Cross-linguistic evidence in language acquisition
In: COGNITIVE PSYCHOL , 55 (4) 259 - 305. (2007) (2007)
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19
'Ideal learning' of natural language: Positive results about learning from positive evidence
In: J MATH PSYCHOL , 51 (3) 135 - 163. (2007) (2007)
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20
Probabilistic models of language processing and acquisition
In: TRENDS IN COGNITIVE SCIENCES , 10 (7) 335 - 344. (2006) (2006)
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