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  1. Initial judgment of solvability: integrating prior expectations with experience-based heuristic cues.Tirza Lauterman & Rakefet Ackerman - 2024 - Thinking and Reasoning 30 (1):135-168.
    Initial Judgment of Solvability (iJOS) is a metacognitive judgment that reflects solvers’ first impression as to whether a problem is solvable. We hypothesized that iJOS is inferred by combining prior expectations about the entire task with heuristic cues derived from each problem’s elements. In two experiments participants first provided quick iJOSs for all problems, then attempted to solve them. We manipulated expectations by changing the proportion of solvable problems conveyed to participants, 33%, 50%, or 66%, while the true proportion was (...)
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  • Semantic Memory Search and Retrieval in a Novel Cooperative Word Game: A Comparison of Associative and Distributional Semantic Models.Abhilasha A. Kumar, Mark Steyvers & David A. Balota - 2021 - Cognitive Science 45 (10):e13053.
    Considerable work during the past two decades has focused on modeling the structure of semantic memory, although the performance of these models in complex and unconstrained semantic tasks remains relatively understudied. We introduce a two‐player cooperative word game, Connector (based on the boardgame Codenames), and investigate whether similarity metrics derived from two large databases of human free association norms, the University of South Florida norms and the Small World of Words norms, and two distributional semantic models based on large language (...)
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  • A Systematic Review of Creativity-Related Studies Applying the Remote Associates Test From 2000 to 2019.Ching-Lin Wu, Shih-Yuan Huang, Pei-Zhen Chen & Hsueh-Chih Chen - 2020 - Frontiers in Psychology 11.
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  • Metaphor Comprehension in Low and High Creative Individuals.Yoed N. Kenett, Rinat Gold & Miriam Faust - 2018 - Frontiers in Psychology 9.
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  • Creativity on tap? Effects of alcohol intoxication on creative cognition.Mathias Benedek, Lisa Panzierer, Emanuel Jauk & Aljoscha C. Neubauer - 2017 - Consciousness and Cognition 56 (C):128-134.
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  • Investigating the structure of semantic networks in low and high creative persons.Yoed N. Kenett, David Anaki & Miriam Faust - 2014 - Frontiers in Human Neuroscience 8:89404.
    According to Mednick’s (1962) theory of individual differences in creativity, creative individuals appear to have a richer and more flexible associative network than less creative individuals. Thus, creative individuals are characterized by “flat” (broader associations) instead of “steep” (few, common associations) associational hierarchies. To study these differences, we implement a novel computational approach to the study of semantic networks, through the analysis of free associations. The core notion of our method is that concepts in the network are related to each (...)
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  • The Role of Sequential Dependence in Creative Semantic Search.Kevin A. Smith & Edward Vul - 2015 - Topics in Cognitive Science 7 (3):543-546.
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  • Semantic search during divergent thinking.Richard W. Hass - 2017 - Cognition 166 (C):344-357.
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  • What do cows drink? A systems factorial technology account of processing architecture in memory intersection problems.Zachary L. Howard, Bianca Belevski, Ami Eidels & Simon Dennis - 2020 - Cognition 202:104294.
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  • When word frequency meets word order: factors determining multiply-constrained creative association.Wangbing Shen, Bernhard Hommel, Yuan Yuan, Qiping Ren, Meifeng Hua & Fang Lu - forthcoming - Thinking and Reasoning.
    Creative association is inherent and essential to creativity and insight. Here we utilised a Chinese compound Remote Associates Task (cRAT) to identify the potential impact of word order (i.e., solution position hereinafter) and word frequency on creative association across two behavioural experiments. Experiment 1 identified the effects of (a) word order and word frequency on cRAT-induced association without considering the specific strategies used during solving such problems and (b) their interaction not only on performance in solving the cRAT, including solution (...)
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  • Searching for Semantic Knowledge: A Vector Space Semantic Analysis of the Feature Generation Task.Rebecca A. Cutler, Melissa C. Duff & Sean M. Polyn - 2019 - Frontiers in Human Neuroscience 13.
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  • Sympathetic arousal, but not disturbed executive functioning, mediates the impairment of cognitive flexibility under stress.Martin Marko & Igor Riečanský - 2018 - Cognition 174:94-102.
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  • Modeling the Remote Associates Test as Retrievals from Semantic Memory.Jule Schatz, Steven J. Jones & John E. Laird - 2022 - Cognitive Science 46 (6):e13145.
    Cognitive Science, Volume 46, Issue 6, June 2022.
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  • Interfacing Mind and Environment: The Central Role of Search in Cognition.Wai-Tat Fu, Thomas Hills & Peter M. Todd - 2015 - Topics in Cognitive Science 7 (3):384-390.
    Search can be found in almost every cognitive activity, ranging across vision, memory retrieval, problem solving, decision making, foraging, and social interaction. Because of its ubiquity, research on search has a tendency to fragment into multiple areas of cognitive science. The proposed topic aims at providing integrative discussion of the central role of search from multiple perspectives. We focus on controlled search processes, which require a goal, uncertainty about the nature, location, or acquisition method of the objects to be searched (...)
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  • A Spiking Neuron Model of Word Associations for the Remote Associates Test.Ivana Kajić, Jan Gosmann, Terrence C. Stewart, Thomas Wennekers & Chris Eliasmith - 2017 - Frontiers in Psychology 8.
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  • “The Penny Drops”: Investigating Insight Through the Medium of Cryptic Crosswords.Kathryn J. Friedlander & Philip A. Fine - 2018 - Frontiers in Psychology 9.
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  • Items Outperform Adjectives in a Computational Model of Binary Semantic Classification.Evgeniia Diachek, Sarah Brown-Schmidt & Sean M. Polyn - 2023 - Cognitive Science 47 (9):e13336.
    Semantic memory encompasses one's knowledge about the world. Distributional semantic models, which construct vector spaces with embedded words, are a proposed framework for understanding the representational structure of human semantic knowledge. Unlike some classic semantic models, distributional semantic models lack a mechanism for specifying the properties of concepts, which raises questions regarding their utility for a general theory of semantic knowledge. Here, we develop a computational model of a binary semantic classification task, in which participants judged target words for the (...)
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  • Determinants of creative thinking: the effect of task characteristics in solving remote associate test problems.Ut Na Sio, Kenneth Kotovsky & Jonathan Cagan - 2022 - Thinking and Reasoning 28 (2):163-192.
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  • A Critical Review of Network‐Based and Distributional Approaches to Semantic Memory Structure and Processes.Abhilasha A. Kumar, Mark Steyvers & David A. Balota - 2022 - Topics in Cognitive Science 14 (1):54-77.
    Topics in Cognitive Science, Volume 14, Issue 1, Page 54-77, January 2022.
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  • Aiding the search: Examining individual differences in multiply-constrained problem solving.Derek M. Ellis & Gene A. Brewer - 2018 - Consciousness and Cognition 62 (C):21-33.
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