Modeling Ideational Creativity in Groups: Connecting Cognitive, Neural, and Computational Approaches

TL;DR: In this article, the authors examined the utility of a quantity focus in comparison to a condition in which quantity is not emphasized, and found that the quantity goal condition was superior to the other three conditions in leading to the generation of more ideas and more good ideas.

TL;DR: This article investigated how secondary school students engage in scientific creativity tasks with the support of technology, in particular how they generate ideas in small groups via applying relevant thinking strategies, engaging in social communication, and constructing a computer-based mind map to facilitate group thinking.

TL;DR: It is argued that voice expressed in front of an audience, compared with that expressed one-on-one, is more threatening to the image that managers seek to portray as competent and unerring leaders, and that leads managers to respond more defensively to public voice and endorse it less.

TL;DR: This study aims to characterize and examine the innovation of nanotechnology team projects by comparing three research groups: face-to-face university students, online universityStudents, and online world learners and indicated that compared to the online learners, the face- to- face university students generated projects with a higher innovation profile.

TL;DR: A model of a system having a large number of simple equivalent components, based on aspects of neurobiology but readily adapted to integrated circuits, produces a content-addressable memory which correctly yields an entire memory from any subpart of sufficient size.

TL;DR: It is proposed that cognitive control stems from the active maintenance of patterns of activity in the prefrontal cortex that represent goals and the means to achieve them, which provide bias signals to other brain structures whose net effect is to guide the flow of activity along neural pathways that establish the proper mappings between inputs, internal states, and outputs needed to perform a given task.

TL;DR: Findings in this work indicate that dopaminergic neurons in the primate whose fluctuating output apparently signals changes or errors in the predictions of future salient and rewarding events can be understood through quantitative theories of adaptive optimizing control.

TL;DR: A perceptual theory of knowledge can implement a fully functional conceptual system while avoiding problems associated with amodal symbol systems and implications for cognition, neuroscience, evolution, development, and artificial intelligence are explored.