Reconciling simplicity and likelihood principles in perceptual organization.

By N. Chater. 1996

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Citations in the corpus

On the Binding Problem in Artificial Neural Networks (2020, background): “There is disagreement about how to quantify information and the issue of simplicity versus likelihood has been debated extensively, though they might turn out to be identical (Chater, 1996)”
Language Evolution by Iterated Learning With Bayesian Agents (2007, background): “The principle of maximizing the posterior probability is equivalent to minimizing the length of the representation of a language in a particular encoding scheme (this idea is explored in detail in Chater, 1996, and Li & Vitanyi, 1997).”
Measures of Temporal Pattern Complexity (2000, background): “This representation on several levels accounts for the structural redundancy inherent in divisible rhythms, such as those found in Western music.”
Simplicity: a unifying principle in cognitive science? (2003, background): “mathematically closely related to the simplicity principle[ 13 ]”
Simplicity and probability in causal explanation. (2007, unknown): “Chater (1996) , for example, advocates a simplicity metric known as Kolmogorov Complexity, according to which simplicity is equivalent to being producible by a short program for a universal Turing machine (Li & Vitanyi, 1997).”
Fast, frugal, and rational: How rational norms explain behavior (2003, unknown): “Gigerenzer & Goldstein と同様、手がかり妥当性がトレーニング事例から計算される。 4.2.3 Exemplar-based models ２種類を使用。ニアレスト・ネイバー(Cover & Hart, 1967) GCM(Generalized Context Model)(Nosofsky, 1990)”
Minimization of Boolean complexity in human concept learning (2000, background): “For each concept, learning is successful to the degree that the concept can be faithfully compresse”
Causes and Prevention of Laparoscopic Bile Duct Injuries: Analysis of 252 Cases From a Human Factors and Cognitive Psychology Perspective (2003, background): “Visual perception is one example.(9,11,22,24,25) The visual system implicitly makes plausible assumptions about the environment as it analyzes the imaging information being processed on its way towards the conscious mind.”
A Century of Gestalt Psychology in Visual Perception II. Conceptual and Theoretical Foundations (2012, background): “(This is where this line of reasoning deviates from the one by Chater, 1996, and Feldman, 2009, outlined above.)”
EXPECTATION IN MELODY: THE INFLUENCE OF CONTEXT AND LEARNING (2006, methodology): “Furthermore, quantifying the principle of parsimony in terms of algorithmic information theory demonstrates that simple encodings of a set of data also provide the most probable explanations for that data (Chater, 1996, 1999; Chater & Vitányi, 2003).”
An overview of quantitative approaches in Gestalt perception. (2016, unknown): “To be more precise, it has been shown that maximizing simplicity (an important aspect of Prägnanz, and generally expressed in information-theoretic terms) and maximizing the Bayesian posterior, under certain simplifying assumptions, really amount to the same thing (Chater, 1996; Feldman, 2009).”