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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)
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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)
Abstract: It is widely assumed that human learning and the structure of human languages are intimately related. This relationship is frequently suggested to derive from a language-specific biological endowment, which encodes universal, but communicatively arbitrary, principles of language structure (a Universal Grammar or UG). How might such a UG have evolved? We argue that UG could not have arisen either by biological adaptation or non-adaptationist genetic processes, resulting in a logical problem of language evolution. Specifically, as the processes of language change are much more rapid than processes of genetic change, language constitutes a "moving target" both over time and across different human populations, and hence, cannot provide a stable environment to which language genes could have adapted. We conclude that a biologically determined UG is not evolutionarily viable. Instead, the original motivation for UG - the mesh between learners and languages - arises because language has been shaped to fit the human brain, rather than vice versa. Following Darwin, we view language itself as a complex and interdependent "organism," which evolves under selectional pressures from human learning and processing mechanisms. That is, languages themselves are shaped by severe selectional pressure from each generation of language users and learners. This suggests that apparently arbitrary aspects of linguistic structure may result from general learning and processing biases deriving from the structure of thought processes, perceptuo-motor factors, cognitive limitations, and pragmatics.
Keyword: ARTIFICIAL LANGUAGE; biological adaptation; cultural evolution; DARWINS FINCHES; DISTRIBUTIONAL CUES; grammaticalization; language acquisition; language evolution; linguistic change; LINGUISTIC EVOLUTION; natural selection; NATURAL-SELECTION; PHONOLOGICAL MARKERS; PROBABILISTIC CONSTRAINTS; SYNTACTIC AMBIGUITY RESOLUTION; Universal Grammar; WORD-ORDER
URL: http://discovery.ucl.ac.uk/168484/1/download10.pdf
http://discovery.ucl.ac.uk/168484/
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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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