[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 …
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
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 …
must design experiments for which the theories make distinct predictions. Here we consider …
Cognitive control predicts use of model-based reinforcement learning
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 …
separate, competing valuation systems in the control of choice behavior. Recent theoretical …
Predicting memory from the network structure of naturalistic events
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 …
connections between them. However, extant research has focused on how humans segment …
Reconstructing perceived and retrieved faces from activity patterns in lateral parietal cortex
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 …
from the angular gyrus (ANG), a subregion of posterior lateral parietal cortex. However …
Human inference reflects a normative balance of complexity and accuracy
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 …
Complex, probabilistic approaches to this challenge such as Bayesian inference are …
The experiment factory: Standardizing behavioral experiments
The administration of behavioral and experimental paradigms for psychology research is
hindered by lack of a coordinated effort to develop and deploy standardized paradigms …
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.
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 …
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 …
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') …
in parietal cortex track episodic experience with stimuli (whether stimuli are'old'or'new') …