Affordances, constraints, and implications of ChatGPT in education from a social-ecological perspective: A data mining approach DOI Creative Commons
Yuchun Zhong, Jie Lian, Hao Huang

et al.

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Language: Английский

The Binding Problem 2.0: Beyond Perceptual Features DOI
Xinchi Yu,

Ellen Lau

Cognitive Science, Journal Year: 2023, Volume and Issue: 47(2)

Published: Feb. 1, 2023

Abstract The “binding problem” has been a central question in vision science for some 30 years: When encoding multiple objects or maintaining them working memory, how are we able to represent the correspondence between specific feature and its corresponding object correctly? In this letter argue that boundaries of research program fact extend far beyond vision, call coordinated pursuit across broader cognitive community cognition, which dub “Binding Problem 2.0”.

Language: Английский

Citations

16

Modal and amodal cognition: an overarching principle in various domains of psychology DOI Creative Commons
Barbara Kaup, Rolf Ulrich, Karin M. Bausenhart

et al.

Psychological Research, Journal Year: 2023, Volume and Issue: 88(2), P. 307 - 337

Published: Oct. 17, 2023

Accounting for how the human mind represents internal and external world is a crucial feature of many theories cognition. Central to this question distinction between modal as opposed amodal representational formats. It has often been assumed that one but not both these two types representations underlie processing in specific domains cognition (e.g., perception, mental imagery, language). However, paper, we suggest formats play major role most cognitive domains. We believe comprehensive theory requires solid understanding their functional roles within across different cognition, developmental trajectory formats, dysfunctional behavior. Here sketch such an overarching perspective brings together research from diverse subdisciplines psychology on so unravel principles interactions.

Language: Английский

Citations

11

Pictorial syntax DOI Creative Commons
Kevin J. Lande

Mind & Language, Journal Year: 2024, Volume and Issue: 39(4), P. 518 - 539

Published: Jan. 2, 2024

It is commonly assumed that images, whether in the world or head, do not have a privileged analysis into constituent parts. They are thought to lack sort of syntactic structure necessary for representing complex contents and entering sophisticated patterns inference. I reject this assumption. “Image grammars” models computer vision articulate systematic principles governing form content images. These empirically credible can be construed as literal grammars Images rich structure, though markedly different than sentences language.

Language: Английский

Citations

4

In praise of folly: flexible goals and human cognition DOI
Junyi Chu, Joshua B. Tenenbaum, Laura Schulz

et al.

Trends in Cognitive Sciences, Journal Year: 2024, Volume and Issue: 28(7), P. 628 - 642

Published: April 13, 2024

Language: Английский

Citations

4

Models of Possibilities Instead of Logic as the Basis of Human Reasoning DOI
P. N. Johnson‐Laird, Ruth M. J. Byrne, Sangeet Khemlani

et al.

Minds and Machines, Journal Year: 2024, Volume and Issue: 34(3)

Published: June 4, 2024

Language: Английский

Citations

4

Building machines that learn and think with people DOI
Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt

et al.

Nature Human Behaviour, Journal Year: 2024, Volume and Issue: 8(10), P. 1851 - 1863

Published: Oct. 22, 2024

Language: Английский

Citations

4

Reasoning with maps, a dynamic approach DOI
Mariela Aguilera

Acta Analytica, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Language: Английский

Citations

0

Neural representation of action symbols in primate frontal cortex DOI Creative Commons
Lucas Y Tian,

Kedar U. Garzón,

Adam G. Rouse

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Abstract At the core of intelligence is proficiency in solving new problems, including those that differ dramatically from problems seen before. Problem-solving, turn, depends on goal-directed generation novel thoughts and behaviors 1 , which has been proposed to rely internal representations discrete units, or symbols, processes can recombine them into a large set possible composite 1–11 . Although this view influential formulating cognitive-level explanations behavior, definitive evidence for neuronal substrate symbols remained elusive. Here, we identify neural population encoding action symbols—internal, recombinable units motor behavior—localized specific area frontal cortex. In macaque monkeys performing drawing-like task designed assess recombination learned sequences, found behavioral three critical features indicate actions have an underlying symbolic representation: (i) invariance over low-level parameters; (ii) categorical structure, reflecting classes action; (iii) sequences. simultaneous recordings across motor, premotor, prefrontal cortex, planning-related activity ventral premotor cortex encodes manner that, like reflects invariance, recombination, properties indicating representation. Activity no other recorded exhibited combination properties. These findings reveal representation localized PMv, therefore putative cognitive operations.

Language: Английский

Citations

0

Thinking mechanistically about perceptual learning: Broad consequences for philosophy of mind DOI Creative Commons
Daniel C. Burnston, Madeleine Ransom

Mind & Language, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Traditionally, philosophy of psychology has individuated mental states functionally or semantically. These approaches have shaped many the debates surrounding cognitive architecture and perceptual experience. We argue that understanding learning requires a mechanistic approach, which focuses on structure representations underlying learned abilities. articulate then show how it differs from functional semantic with regards to important about high‐level contents, permeation, non‐conceptual content. Finally, we our approach opens new avenues for explaining perception contributes phenomena such as expertise decision‐making.

Language: Английский

Citations

0

Same set of visual pointers for biological and non-biological objects in working memory DOI
Xinchi Yu,

Ellen Lau

Visual Cognition, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: April 11, 2025

Language: Английский

Citations

0