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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)
Abstract: Gold's [1967. Language identification in the limit. Information and Control, 16, 447-474] celebrated work on learning in the limit has been taken, by many cognitive scientists, to have powerful negative implications for the learnability of language from positive data (i.e., from mere exposure to linguistic input). This provides one, of several, lines of argument that language acquisition must draw on other sources of information, including innate constraints on learning. We consider an 'ideal learner' that applies a Simplicity Principle to the problem of language acquisition. The Simplicity Principle chooses the hypothesis that provides the briefest representation of the available data-here, the data are the linguistic input to the child. The Simplicity Principle allows learning from positive evidence alone, given quite weak assumptions, in apparent contrast to results on language learnability in the limit (e.g., Gold, 1967). These results provide a framework for reconsidering the learnability of various aspects of natural language from positive evidence, which has been at the center of theoretical debate in research on language acquisition and linguistics. (c) 2006 Elsevier Inc. All rights reserved.
Keyword: algorithmic complexity; COMPLEXITY; formal languages; identification in the limit; INDUCTIVE INFERENCE; Kolmogorov; language acquisition; learnability; PRINCIPLE; SIMPLICITY; STIMULUS POVERTY ARGUMENTS; SYNTAX; TIME
URL: http://discovery.ucl.ac.uk/148037/
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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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