Modeling, replicating, and predicting human behavior: a survey
Given the popular presupposition of human reasoning as the standard for learning and
decision making, there have been significant efforts and a growing trend in research to …
decision making, there have been significant efforts and a growing trend in research to …
Strategy selection in decisions from givens: deciding at a glance?
T Pachur - Cognitive Psychology, 2022 - Elsevier
People deciding between alternatives have at their disposal a toolbox containing both
compensatory strategies, which take into account all available attributes of those …
compensatory strategies, which take into account all available attributes of those …
The paradox of Prader-Willi syndrome revisited: Making sense of the phenotype
A Holland, K Manning, J Whittington - EBioMedicine, 2022 - thelancet.com
Prader-Willi syndrome arises as a consequence of absent paternal copies of maternally
imprinted genes at 15q11-13. Such gender-of-origin imprinted genes are expressed in the …
imprinted genes at 15q11-13. Such gender-of-origin imprinted genes are expressed in the …
Using cognitive models to understand and counteract the effect of self-induced bias on recommendation algorithms
J Pawłowska, K Rydzewska… - Journal of Artificial …, 2023 - sciendo.com
Recommendation algorithms trained on a training set containing sub-optimal decisions may
increase the likelihood of making more bad decisions in the future. We call this harmful effect …
increase the likelihood of making more bad decisions in the future. We call this harmful effect …
[HTML][HTML] ACT-R based human digital twin to enhance operators' performance in process industries
B Balaji, MA Shahab, B Srinivasan… - Frontiers in Human …, 2023 - frontiersin.org
To ensure safe and efficient operation, operators in process industries have to make timely
decisions based on time-varying information. A holistic assessment of operators' …
decisions based on time-varying information. A holistic assessment of operators' …
Process and content in decisions from memory.
Abstract Information stored in memory influences the formation of preferences and beliefs in
most everyday decision tasks. The richness of this information, and the complexity inherent …
most everyday decision tasks. The richness of this information, and the complexity inherent …
A task modeling method of intelligent human–computer interaction in aircraft cockpits based on information load flow
X Zhang, Y Sun, Y Zhang - IEEE Transactions on Aerospace …, 2022 - ieeexplore.ieee.org
Defining how tasks should be performed is an essential prerequisite for designing the next-
generation aircraft cockpits with multimodal intelligent human–computer interaction (HCI) …
generation aircraft cockpits with multimodal intelligent human–computer interaction (HCI) …
Machine learning strategy identification: A paradigm to uncover decision strategies with high fidelity
J Fang, L Schooler, L Shenghua - Behavior Research Methods, 2023 - Springer
We propose a novel approach, which we call machine learning strategy identification
(MLSI), to uncovering hidden decision strategies. In this approach, we first train machine …
(MLSI), to uncovering hidden decision strategies. In this approach, we first train machine …
Some metatheoretical reflections on adaptive decision making and the strategy selection problem
JN Marewski, A Bröder… - Journal of Behavioral …, 2018 - Wiley Online Library
Organisms must be capable of adapting to environmental task demands. Which cognitive
processes best model the ways in which adaptation is achieved? People can behave …
processes best model the ways in which adaptation is achieved? People can behave …
Individual differences in reward‐based learning predict fluid reasoning abilities
The ability to reason and problem‐solve in novel situations, as measured by the Raven's
Advanced Progressive Matrices (RAPM), is highly predictive of both cognitive task …
Advanced Progressive Matrices (RAPM), is highly predictive of both cognitive task …