[HTML][HTML] Interestingness elements for explainable reinforcement learning: Understanding agents' capabilities and limitations

P Sequeira, M Gervasio - Artificial Intelligence, 2020 - Elsevier
We propose an explainable reinforcement learning (XRL) framework that analyzes an
agent's history of interaction with the environment to extract interestingness elements that …

Controversial stimuli: Pitting neural networks against each other as models of human cognition

T Golan, PC Raju… - Proceedings of the …, 2020 - National Acad Sciences
Distinct scientific theories can make similar predictions. To adjudicate between theories, we
must design experiments for which the theories make distinct predictions. Here we consider …

Cognitive control predicts use of model-based reinforcement learning

AR Otto, A Skatova, S Madlon-Kay… - Journal of cognitive …, 2015 - direct.mit.edu
Accounts of decision-making and its neural substrates have long posited the operation of
separate, competing valuation systems in the control of choice behavior. Recent theoretical …

Predicting memory from the network structure of naturalistic events

H Lee, J Chen - Nature Communications, 2022 - nature.com
When we remember events, we often do not only recall individual events, but also the
connections between them. However, extant research has focused on how humans segment …

Reconstructing perceived and retrieved faces from activity patterns in lateral parietal cortex

H Lee, BA Kuhl - Journal of Neuroscience, 2016 - Soc Neuroscience
Recent findings suggest that the contents of memory encoding and retrieval can be decoded
from the angular gyrus (ANG), a subregion of posterior lateral parietal cortex. However …

Human inference reflects a normative balance of complexity and accuracy

G Tavoni, T Doi, C Pizzica, V Balasubramanian… - Nature human …, 2022 - nature.com
We must often infer latent properties of the world from noisy and changing observations.
Complex, probabilistic approaches to this challenge such as Bayesian inference are …

The experiment factory: Standardizing behavioral experiments

VV Sochat, IW Eisenberg, AZ Enkavi, J Li… - Frontiers in …, 2016 - frontiersin.org
The administration of behavioral and experimental paradigms for psychology research is
hindered by lack of a coordinated effort to develop and deploy standardized paradigms …

[HTML][HTML] Exploratory decision-making as a function of lifelong experience, not cognitive decline.

NJ Blanco, BC Love, M Ramscar, AR Otto… - Journal of …, 2016 - psycnet.apa.org
Older adults perform worse than younger adults in some complex decision-making
scenarios, which is commonly attributed to age-related declines in striatal and frontostriatal …

[PDF][PDF] Establishing a Human Baseline for the Winograd Schema Challenge.

D Bender - MAICS, 2015 - cslab.valpo.edu
Abstract The Winograd Schema Challenge (WSC) is a pronoun resolution task for which
deep semantic knowledge is required to achieve high performance. Until now it has been …

Adding meaning to memories: How parietal cortex combines semantic content with episodic experience

H Lee, PA Keene, SC Sweigart… - Journal of …, 2023 - Soc Neuroscience
Neuroimaging studies of human memory have consistently found that univariate responses
in parietal cortex track episodic experience with stimuli (whether stimuli are'old'or'new') …