Results 11 to 20 of about 3,632 (52)
AI can only produce artificial creativity
This article (a) draws from various theories of creativity (e.g., 4P and 6P theories) and (b) uses several concepts from the creativity literature (e.g., self-actualization, emergence) to evaluate the claim that AI can be creative. This approach suggests
Mark A. Runco
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The originality of machines: AI takes the Torrance Test
This exploratory research investigated the creative abilities of OpenAI's large language model, ChatGPT, based on the GPT-4 architecture, as assessed by the Torrance Tests of Creative Thinking.
Erik E. Guzik +2 more
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Objective. To use meta-analysis to explore five previously uninvestigated factors related to the sender-receiver dynamic in the telepathy ganzfeld. The five factors of interest are: a) did the receiver see the sender’s room prior to the session?; b ...
Aja L. Murray, Caroline Watt
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Examining the replicability of backfire effects after standalone corrections
Corrections are a frequently used and effective tool for countering misinformation. However, concerns have been raised that corrections may introduce false claims to new audiences when the misinformation is novel. This is because boosting the familiarity
Toby Prike +3 more
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Recent Publications of Note 3(1)
N ...
Etzel Cardeña
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Using Leading Questions to Reduce Resistance to Innovation
Innovation is crucial for organizational success and survival. Yet, organizations often find it difficult to assimilate new ideas as they face internal resistance to change and innovation.
Yossi Maaravi +6 more
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How much creative potential is expressed at work?
Various approaches have been developed to examine the degree to which organizations support or inhibit creativity. One approach involves comparing creative behavior expressed when a person is at work with that displayed when they are not at work.
Mark A. Runco +2 more
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Lexical Feedback in the Time-Invariant String Kernel (TISK) Model of Spoken Word Recognition
The Time-Invariant String Kernel (TISK) model of spoken word recognition (Hannagan, Magnuson & Grainger, 2013; You & Magnuson, 2018) is an interactive activation model with many similarities to TRACE (McClelland & Elman, 1986). However, by replacing most
James S. Magnuson +2 more
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The paper endorses Cognitive Load Theory and offers insights into the characterization of the mechanisms underlying extraneous cognitive load and their impact on basic learning.
Batel Hazan-Liran, Paul Miller
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Modelling of Musical Perception using Spectral Knowledge Representation
We present a novel approach to representing perceptual and cognitive knowledge, spectral knowledge representation, that is focused on the oscillatory behaviour of the brain.
Steven T. Homer +2 more
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