Topics in Cognitive Science

Probability Theory Plus Noise: Descriptive Estimation and Inferential Judgment

Published in: Topics in Cognitive Science, Volume 10, Issue 1, 192-208 Abstract “We describe a computational model of two central aspects of people’s probabilistic reasoning: descriptive probability estimation and inferential probability judgment. This model assumes that people’s reasoning follows standard frequentist probability theory, but it is subject to random noise. This random noise has a regressive […]

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How Does Rumination Impact Cognition? A First Mechanistic Model

Topics in Cognitive Science

Published in: Topics in Cognitive Science, Volume 10, Issue 1, 175-191 Abstract “Rumination is a process of uncontrolled, narrowly focused negative thinking that is often self‐referential, and that is a hallmark of depression. Despite its importance, little is known about its cognitive mechanisms. Rumination can be thought of as a specific, constrained form of mind‐wandering. Here,

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Editors’ Introduction: Cognitive Modeling at ICCM: Advancing the State of the Art

Topics in Cognitive Science

Published in: Topics in Cognitive Science, Volume 10, Issue 1, 140-143 Abstract “Cognitive modeling is the effort to understand the mind by implementing theories of the mind in computer code, producing measures comparable to human behavior and mental activity. The community of cognitive modelers has traditionally met twice every 3 years at the International Conference on

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A Computational Investigation of Sources of Variability in Sentence Comprehension Difficulty in Aphasia

Topics in Cognitive Science

Published in: Topics in Cognitive Science, Volume 10, Issue 1, 161-174 Abstract “We present a computational evaluation of three hypotheses about sources of deficit in sentence comprehension in aphasia: slowed processing, intermittent deficiency, and resource reduction. The ACT‐R based Lewis and Vasishth (2005) model is used to implement these three proposals. Slowed processing is implemented as

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Building an ACT‐R Reader for Eye‐Tracking Corpus Data

Topics in Cognitive Science

Published in: Topics in Cognitive Science, Volume 10, Issue 1, 144-160 Abstract “Cognitive architectures have often been applied to data from individual experiments. In this paper, I develop an ACT‐R reader that can model a much larger set of data, eye‐tracking corpus data. It is shown that the resulting model has a good fit to the

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Alternative Solutions to a Language Design Problem: The Role of Adjectives and Gender Marking in Efficient Communication

Topics in Cognitive Science

Published in: Topics in Cognitive Science, Volume 10, Issue 1, 209-224 Abstract “A central goal of typological research is to characterize linguistic features in terms of both their functional role and their fit to social and cognitive systems. One long‐standing puzzle concerns why certain languages employ grammatical gender. In an information theoretic analysis of German noun

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Preemption in Singular Causation Judgments: A Computational Model

Topics in Cognitive Science

Published in: Topics in Cognitive Science, Volume 10, Issue 1, 242-257 Abstract “Causal queries about singular cases are ubiquitous, yet the question of how we assess whether a particular outcome was actually caused by a specific potential cause turns out to be difficult to answer. Relying on the causal power framework (Cheng, 1997), Cheng and Novick (2005)

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