As within, so without, as above, so below: Common mechanisms can support between-and within-trial category learning dynamics.

ER Weichart, M Galdo, VM Sloutsky… - Psychological …, 2022 - psycnet.apa.org
Two fundamental difficulties when learning novel categories are deciding (a) what
information is relevant and (b) when to use that information. Although previous theories have …

Cognitive inertia: Cyclical interactions between attention and memory shape learning

BM Turner, VM Sloutsky - Current Directions in …, 2024 - journals.sagepub.com
In explaining how humans selectively attend, common frameworks often focus on how
attention is allocated relative to an idealized allocation based on properties of the task …

The quest for simplicity in human learning: Identifying the constraints on attention

M Galdo, ER Weichart, VM Sloutsky, BM Turner - Cognitive psychology, 2022 - Elsevier
For better or worse, humans live a resource-constrained existence; only a fraction of
physical sensations ever reach conscious awareness, and we store a shockingly small …

Distributed neural systems support flexible attention updating during category learning

ER Weichart, DG Evans, M Galdo… - Journal of Cognitive …, 2022 - ieeexplore.ieee.org
To accurately categorize items, humans learn to selectively attend to the stimulus
dimensions that are most relevant to the task. Models of category learning describe how …

[图书][B] The effects of personalization on category learning

G Bahg - 2021 - search.proquest.com
With the development and prevalent applications of personalization algorithms, many
concerns have been raised about its impact caused by the limited content diversity …

Examining The Effect of Organizational DNA on Strategic Inertia: An Evidence from The Egyptian Textiles and Garments Companies

A Azmy Zaky Abdelaziz… - المجلة العلمية للدراسات …, 2022‎ - journals.ekb.eg
This paper investigates the antecedents of strategic inertia in the Egyptian textile and
garments industry. Despite the importance of flexibility in this dynamic industry, empirical …