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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)
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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)
Abstract: Probabilistic methods are providing new explanatory approaches to fundamental cognitive science questions of how humans structure, process and acquire language. This review examines probabilistic models defined over traditional symbolic structures. Language comprehension and production involve probabilistic inference in such models; and acquisition involves choosing the best model, given innate constraints and linguistic and other input. Probabilistic models can account for the learning and processing of language, while maintaining the sophistication of symbolic models. A recent burgeoning of theoretical developments and online corpus creation has enabled large models to be tested, revealing probabilistic constraints in processing, undermining acquisition arguments based on a perceived poverty of the stimulus, and suggesting fruitful links with probabilistic theories of categorization and ambiguity resolution in perception.
Keyword: CONSTRAINTS; DISAMBIGUATION; INFANTS; INFORMATION; MORPHOLOGY; NATURAL-LANGUAGE; PERCEPTION; SPEECH RECOGNITION; STATISTICAL-MODELS; STIMULUS POVERTY ARGUMENTS
URL: http://discovery.ucl.ac.uk/124495/
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