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  1. A Generative Theory of Tonal Music.Fred Lerdahl & Ray Jackendoff - 1987 - Journal of Aesthetics and Art Criticism 46 (1):94-98.
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  • Discovering syntactic deep structure via Bayesian statistics.Jason Eisner - 2002 - Cognitive Science 26 (3):255-268.
    In the Bayesian framework, a language learner should seek a grammar that explains observed data well and is also a priori probable. This paper proposes such a measure of prior probability. Indeed it develops a full statistical framework for lexicalized syntax. The learner's job is to discover the system of probabilistic transformations (often called lexical redundancy rules) that underlies the patterns of regular and irregular syntactic constructions listed in the lexicon. Specifically, the learner discovers what transformations apply in the language, (...)
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  • Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers.Alison Gopnik - 2004 - Cognitive Science 28 (3):303-333.
    Previous research suggests that children can infer causal relations from patterns of events. However, what appear to be cases of causal inference may simply reduce to children recognizing relevant associations among events, and responding based on those associations. To examine this claim, in Experiments 1 and 2, children were introduced to a “blicket detector”, a machine that lit up and played music when certain objects were placed upon it. Children observed patterns of contingency between objects and the machine’s activation that (...)
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  • Statistical learning of tone sequences by human infants and adults.Jenny R. Saffran, Elizabeth K. Johnson, Richard N. Aslin & Elissa L. Newport - 1999 - Cognition 70 (1):27-52.
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  • Classification objects, ideal observers & generative models.Cheryl Olman & Daniel Kersten - 2004 - Cognitive Science 28 (2):227-239.
    A successful vision system must solve the problem of deriving geometrical information about three-dimensional objects from two-dimensional photometric input. The human visual system solves this problem with remarkable efficiency, and one challenge in vision research is to understand howneural representations of objects are formed and what visual information is used to form these representations. Ideal observer analysis has demonstrated the advantages of studying vision from the perspective of explicit generative models and a specified visual task, which divides the causes of (...)
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  • Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers.D. Sobel - 2004 - Cognitive Science 28 (3):303-333.
    Previous research suggests that children can infer causal relations from patterns of events. However, what appear to be cases of causal inference may simply reduce to children recognizing relevant associations among events, and responding based on those associations. To examine this claim, in Experiments 1 and 2, children were introduced to a “blicket detector,” a machine that lit up and played music when certain objects were placed upon it. Children observed patterns of contingency between objects and the machine's activation that (...)
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  • A hybrid graphical model for rhythmic parsing.Christopher Raphael - 2002 - Artificial Intelligence 137 (1-2):217-238.
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  • Expectancy in melody: tests of the implication-realization model.E. Schellenberg - 1996 - Cognition 58 (1):75-125.
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  • Tracing the dynamic changes in perceived tonal organization in a spatial representation of musical keys.Carol L. Krumhansl & Edward J. Kessler - 1982 - Psychological Review 89 (4):334-368.
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  • The lexical nature of syntactic ambiguity resolution.Maryellen C. MacDonald, Neal J. Pearlmutter & Mark S. Seidenberg - 1994 - Psychological Review 101 (4):676-703.
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