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Showing 1 to 15 of 20 results Save | Export
Corlatescu, Dragos-Georgian; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2021
Reading comprehension is key to knowledge acquisition and to reinforcing memory for previous information. While reading, a mental representation is constructed in the reader's mind. The mental model comprises the words in the text, the relations between the words, and inferences linking to concepts in prior knowledge. The automated model of…
Descriptors: Reading Comprehension, Memory, Inferences, Syntax
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Honda, Hidehito; Matsuka, Toshihiko; Ueda, Kazuhiro – Cognitive Science, 2017
Some researchers on binary choice inference have argued that people make inferences based on simple heuristics, such as recognition, fluency, or familiarity. Others have argued that people make inferences based on available knowledge. To examine the boundary between heuristic and knowledge usage, we examine binary choice inference processes in…
Descriptors: Memory, Heuristics, Inferences, Decision Making
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Yang, Wenjing; Dietrich, Arne; Liu, Peiduo; Ming, Dan; Jin, Yule; Nusbaum, Howard C.; Qiu, Jiang; Zhang, Qinglin – Creativity Research Journal, 2016
Evidence from a range of fields indicates that inventions are often inspired by drawing a parallel to solutions found in nature. However, the cognitive mechanism of this process is not well understood. The cognitive mechanism of heuristic prototype in scientific innovation was tested with 3 experiments. First, 84 historical accounts of important…
Descriptors: Heuristics, Problem Solving, Undergraduate Students, Foreign Countries
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Bramley, Neil R.; Lagnado, David A.; Speekenbrink, Maarten – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Interacting with a system is key to uncovering its causal structure. A computational framework for interventional causal learning has been developed over the last decade, but how real causal learners might achieve or approximate the computations entailed by this framework is still poorly understood. Here we describe an interactive computer task in…
Descriptors: Intervention, Memory, Cognitive Processes, Models
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Khader, Patrick H.; Pachur, Thorsten; Meier, Stefanie; Bien, Siegfried; Jost, Kerstin; Rosler, Frank – Journal of Cognitive Neuroscience, 2011
Many of our daily decisions are memory based, that is, the attribute information about the decision alternatives has to be recalled. Behavioral studies suggest that for such decisions we often use simple strategies (heuristics) that rely on controlled and limited information search. It is assumed that these heuristics simplify decision-making by…
Descriptors: Decision Making, Heuristics, Memory, Brain Hemisphere Functions
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Undorf, Monika; Erdfelder, Edgar – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
According to the ease-of-processing hypothesis, judgments of learning (JOLs) rely on the ease with which items are committed to memory during encoding--that is, encoding fluency. Conclusive evidence for this hypothesis does not yet exist because encoding fluency and item difficulty have been confounded in all previous studies. To disentangle the…
Descriptors: Metacognition, Heuristics, Memory, Undergraduate Students
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Gallo, David A.; Meadow, Nathaniel G.; Johnson, Elizabeth L.; Foster, Katherine T. – Journal of Memory and Language, 2008
Thinking about the meaning of studied words (deep processing) enhances memory on typical recognition tests, relative to focusing on perceptual features (shallow processing). One explanation for this levels-of-processing effect is that deep processing leads to the encoding of more distinctive representations (i.e., more unique semantic or…
Descriptors: Semantics, Memory, Familiarity, Heuristics
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Gigerenzer, Gerd; Hoffrage, Ulrich; Goldstein, Daniel G. – Psychological Review, 2008
M. R. Dougherty, A. M. Franco-Watkins, and R. Thomas (2008) conjectured that fast and frugal heuristics need an automatic frequency counter for ordering cues. In fact, only a few heuristics order cues, and these orderings can arise from evolutionary, social, or individual learning, none of which requires automatic frequency counting. The idea that…
Descriptors: Cues, Heuristics, Memory, Psychology
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McDonough, Ian M.; Gallo, David A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2008
Retrieval monitoring enhances episodic memory accuracy. For instance, false recognition is reduced when participants base their decisions on more distinctive recollections, a retrieval monitoring process called the distinctiveness heuristic. The experiments reported here tested the hypothesis that autobiographical elaboration during study (i.e.,…
Descriptors: Semantics, Familiarity, Heuristics, Memory
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Hertwig, Ralph; Herzog, Stefan M.; Schooler, Lael J.; Reimer, Torsten – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2008
Boundedly rational heuristics for inference can be surprisingly accurate and frugal for several reasons. They can exploit environmental structures, co-opt complex capacities, and elude effortful search by exploiting information that automatically arrives on the mental stage. The fluency heuristic is a prime example of a heuristic that makes the…
Descriptors: Heuristics, Memory, Inferences, Cognitive Processes
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Morsanyi, Kinga; Handley, Simon J. – Journal of Experimental Child Psychology, 2008
We examined the relationship between cognitive capacity and heuristic responding on four types of reasoning and decision-making tasks. A total of 84 children, between 5 years 2 months and 11 years 7 months of age, participated in the study. There was a marked increase in heuristic responding with age that was related to increases in cognitive…
Descriptors: Heuristics, Memory, Young Children, Cognitive Ability
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Dougherty, Michael R. P.; Gettys, Charles F.; Ogden, Eve E. – Psychological Review, 1999
Describes a new theory of likelihood judgments based on D. L. Hintzman's (1984, 1988) MINERVA2 memory model. The model, MINERVA-DM (decision making), accounts for a wide range of likelihood-judgment phenomena. Extends the model to expert-probability judgment and shows how MINERVA-DM can account for both good and poor calibration (overconfidence)…
Descriptors: Cognitive Processes, Decision Making, Heuristics, Mathematical Models
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Nilsson, Hakan; Olsson, Henrik; Juslin, Peter – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2005
The prominent cognitive theories of probability judgment were primarily developed to explain cognitive biases rather than to account for the cognitive processes in probability judgment. In this article the authors compare 3 major theories of the processes and representations in probability judgment: the representativeness heuristic, implemented as…
Descriptors: Probability, Epistemology, Evaluative Thinking, Cognitive Processes
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Schooler, Lael J.; Hertwig, Ralph – Psychological Review, 2005
Some theorists, ranging from W. James (1890) to contemporary psychologists, have argued that forgetting is the key to proper functioning of memory. The authors elaborate on the notion of beneficial forgetting by proposing that loss of information aids inference heuristics that exploit mnemonic information. To this end, the authors bring together 2…
Descriptors: Cognitive Processes, Heuristics, Inferences, Mnemonics
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Hege, Amanda C. G.; Dodson, Chad S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2004
Two accounts explain why studying pictures reduces false memories within the Deese-Roediger-McDermott paradigm (J. Deese, 1959; H. L. Roediger & K. B. McDermott, 1995). The impoverished relational-encoding account suggests that studying pictures interferes with the encoding of relational information, which is the primary basis for false memories…
Descriptors: Coding, Models, Heuristics, Memory
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