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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
Abstract: In contrast with animal communication systems, diversity is characteristic of almost every aspect of human language. Languages variously employ tones, clicks, or manual signs to signal differences in meaning; some languages lack the noun-verb distinction (e.g., Straits Salish), whereas others have a proliferation of fine-grained syntactic categories (e.g., Tzeltal); and some languages do without morphology (e.g., Mandarin), while others pack a whole sentence into a single word (e.g., Cayuga). A challenge for evolutionary biology is to reconcile the diversity of languages with the high degree of biological uniformity of their speakers. Here, we model processes of language change and geographical dispersion and find a consistent pressure for flexible learning, irrespective of the language being spoken. This pressure arises because flexible learners can best cope with the observed high rates of linguistic change associated with divergent cultural evolution following human migration. Thus, rather than genetic adaptations for specific aspects of language, such as recursion, the coevolution of genes and fast-changing linguistic structure provides the biological basis for linguistic diversity. Only biological adaptations for flexible learning combined with cultural evolution can explain how each child has the potential to learn any human language.
Keyword: P Philology. Linguistics; QC Physics
URL: https://openaccess.city.ac.uk/id/eprint/2674/1/The%20Biological%20Origin%20of%20Linguistic%20Diversity.pdf
https://openaccess.city.ac.uk/id/eprint/2674/
http://www.plosone.org/
https://doi.org/10.1371/journal.pone.0048029
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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)
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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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