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Perfors, Andrew; Kidd, Evan – Cognitive Science, 2022
Humans have the ability to learn surprisingly complicated statistical information in a variety of modalities and situations, often based on relatively little input. These statistical learning (SL) skills appear to underlie many kinds of learning, but despite their ubiquity, we still do not fully understand precisely what SL is and what individual…
Descriptors: Statistics Education, Individual Differences, Perception, Stimuli
Rogers, Timothy T.; McClelland, James L. – Cognitive Science, 2014
This paper introduces a special issue of "Cognitive Science" initiated on the 25th anniversary of the publication of "Parallel Distributed Processing" (PDP), a two-volume work that introduced the use of neural network models as vehicles for understanding cognition. The collection surveys the core commitments of the PDP…
Descriptors: Artificial Intelligence, Cognitive Processes, Models, Cognitive Science
McClelland, James L.; Mirman, Daniel; Bolger, Donald J.; Khaitan, Pranav – Cognitive Science, 2014
In a seminal 1977 article, Rumelhart argued that perception required the simultaneous use of multiple sources of information, allowing perceivers to optimally interpret sensory information at many levels of representation in real time as information arrives. Building on Rumelhart's arguments, we present the Interactive Activation…
Descriptors: Perception, Comprehension, Cognitive Processes, Alphabets
Chater, Nick; Oaksford, Mike – Cognitive Science, 2013
Judea Pearl has argued that counterfactuals and causality are central to intelligence, whether natural or artificial, and has helped create a rich mathematical and computational framework for formally analyzing causality. Here, we draw out connections between these notions and various current issues in cognitive science, including the nature of…
Descriptors: Causal Models, Intelligence, Cognitive Processes, Cognitive Science
Sutterlin, Stefan; Schulz, Stefan M.; Stumpf, Theresa; Pauli, Paul; Vogele, Claus – Cognitive Science, 2013
Previous studies suggest in line with dual process models that interoceptive skills affect controlled decisions via automatic or implicit processing. The "framing effect" is considered to capture implicit effects of task-irrelevant emotional stimuli on decision-making. We hypothesized that cardiac awareness, as a measure of interoceptive…
Descriptors: Decision Making, Perception, Cognitive Processes, Bias
Temperley, David – Cognitive Science, 2008
This study presents a probabilistic model of melody perception, which infers the key of a melody and also judges the probability of the melody itself. The model uses Bayesian reasoning: For any "surface" pattern and underlying "structure," we can infer the structure maximizing P(structure [vertical bar] surface) based on knowledge of P(surface,…
Descriptors: Expectation, Intervals, Probability, Information Retrieval
Chater, Nick; Brown, Gordon D. A. – Cognitive Science, 2008
The remarkable successes of the physical sciences have been built on highly general quantitative laws, which serve as the basis for understanding an enormous variety of specific physical systems. How far is it possible to construct universal principles in the cognitive sciences, in terms of which specific aspects of perception, memory, or decision…
Descriptors: Sciences, Scientific Principles, Models, Memory
Teuscher, Ursina; McQuire, Marguerite; Collins, Jennifer; Coulson, Seana – Cognitive Science, 2008
Two experiments investigated whether motion metaphors for time affected the perception of spatial motion. Participants read sentences either about literal motion through space or metaphorical motion through time written from either the ego-moving or object-moving perspective. Each sentence was followed by a cartoon clip. Smiley-moving clips showed…
Descriptors: Sentences, Semantics, Self Concept, Cartoons
Bergen, Benjamin K.; Lindsay, Shane; Matlock, Teenie; Narayanan, Srini – Cognitive Science, 2007
There is mounting evidence that language comprehension involves the activation of mental imagery of the content of utterances (Barsalou, 1999; Bergen, Chang, & Narayan, 2004; Bergen, Narayan, & Feldman, 2003; Narayan, Bergen, & Weinberg, 2004; Richardson, Spivey, McRae, & Barsalou, 2003; Stanfield & Zwaan, 2001; Zwaan, Stanfield, & Yaxley, 2002).…
Descriptors: Comprehension, Sentences, Semantics, Verbs
Buisson, Jean-Christophe – Cognitive Science, 2004
This paper advocates the main ideas of the interactive model of representation of Mark Bickhard and the assimilation/accommodation framework of Jean Piaget, through a rhythm recognition demonstration program. Although completely unsupervised, the program progressively learns to recognize more and more complex rhythms struck on the user's keyboard.…
Descriptors: Perception, Recognition (Psychology), Computer Software, Cognitive Processes
Kroger, James K.; Holyoak, Keith J.; Hummel, John E. – Cognitive Science, 2004
The fundamental relations that underlie cognitive comparisons--''same'' and ''different''--can be defined at multiple levels of abstraction, which vary in relational complexity. We compared response times to decide whether or not two sequentially-presented patterns, each composed of two pairs of colored squares, were the same at three levels of…
Descriptors: Perception, Abstract Reasoning, Cognitive Processes, Reaction Time
Gray, Wayne D.; Fu, Wai-Tat – Cognitive Science, 2004
Constraints and dependencies among the elements of embodied cognition form patterns or microstrategies of interactive behavior. Hard constraints determine which microstrategies are possible. Soft constraints determine which of the possible microstrategies are most likely to be selected. When selection is non-deliberate or automatic the least…
Descriptors: Behavior, Memory, Perception, Psychomotor Skills

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