AIMC Topic: Choice Behavior

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Autoshaped impulsivity: Some explorations with a neural network model.

Behavioural processes Apr 26, 2024
This study evaluated the effect of delay and magnitude of reinforcement in Pavlovian contingencies, extending the understanding of the phenomenon of autoshaped impulsivity as described in Alcalá's thesis (2017) and Burgos and García-Leal (2015). The ...
Humans Impulsive Behavior Conditioning, Classical Choice Behavior Neural Networks, Computer Animals Reinforcement, Psychology
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Modelling dataset bias in machine-learned theories of economic decision-making.

Nature human behaviour Jan 12, 2024
Normative and descriptive models have long vied to explain and predict human risky choices, such as those between goods or gambles. A recent study reported the discovery of a new, more accurate model of human decision-making by training neural networ...
Humans Datasets as Topic Adult Models, Psychological Decision Making Risk-Taking Choice Behavior Bias Neural Networks, Computer Machine Learning
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Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior.

PLoS computational biology Jan 4, 2024
Reinforcement learning (RL) models are used extensively to study human behavior. These rely on normative models of behavior and stress interpretability over predictive capabilities. More recently, neural network models have emerged as a descriptive m...
Reinforcement, Psychology Choice Behavior Learning Models, Theoretical Humans Neural Networks, Computer
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Recurrent networks endowed with structural priors explain suboptimal animal behavior.

Current biology : CB Jan 18, 2023
The strategies found by animals facing a new task are determined both by individual experience and by structural priors evolved to leverage the statistics of natural environments. Rats quickly learn to capitalize on the trial sequence correlations of...
Neural Networks, Computer Behavior, Animal Choice Behavior Learning Animals Rats
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Goals, usefulness and abstraction in value-based choice.

Trends in cognitive sciences Nov 26, 2022
Colombian drug lord Pablo Escobar, while on the run, purportedly burned two million dollars in banknotes to keep his daughter warm. A stark reminder that, in life, circumstances and goals can quickly change, forcing us to reassess and modify our valu...
Goals Choice Behavior Brain Mapping Reward Artificial Intelligence Brain Decision Making
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Flexible control as surrogate reward or dynamic reward maximization.

Cognition Sep 11, 2022
The utility of a given experience, like interacting with a particular friend or tasting a particular food, fluctuates continually according to homeostatic and hedonic principles. Consequently, to maximize reward, an individual must be able to escape ...
Reward Choice Behavior Humans Artificial Intelligence Personality
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Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision.

PloS one Aug 26, 2021
In this paper, we capture and explore the painterly depictions of materials to enable the study of depiction and perception of materials through the artists' eye. We annotated a dataset of 19k paintings with 200k+ bounding boxes from which polygon se...
Likelihood Functions Time Factors Humans Perception Databases as Topic Paintings Artificial Intelligence Statistics as Topic Choice Behavior
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Neural and computational mechanisms of momentary fatigue and persistence in effort-based choice.

Nature communications Jul 28, 2021
From a gym workout, to deciding whether to persevere at work, many activities require us to persist in deciding that rewards are 'worth the effort' even as we become fatigued. However, studies examining effort-based decisions typically assume that th...
Choice Behavior Ventral Striatum Humans Neural Networks, Computer Adolescent Magnetic Resonance Imaging Decision Making Reward Fatigue Young Adult Frontal Lobe Adult Brain Male Female
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Aesthetic preference for art can be predicted from a mixture of low- and high-level visual features.

Nature human behaviour May 20, 2021
It is an open question whether preferences for visual art can be lawfully predicted from the basic constituent elements of a visual image. Here, we developed and tested a computational framework to investigate how aesthetic values are formed. We show...
Esthetics Choice Behavior Art Linear Models Young Adult Photic Stimulation Adult Visual Perception Male Middle Aged Humans Adolescent Neural Networks, Computer Female
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A dataset of human and robot approach behaviors into small free-standing conversational groups.

PloS one Feb 25, 2021
The analysis and simulation of the interactions that occur in group situations is important when humans and artificial agents, physical or virtual, must coordinate when inhabiting similar spaces or even collaborate, as in the case of human-robot team...
Robotics Interpersonal Relations Choice Behavior Computer Simulation Communication Humans
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