AIMC Topic: Choice Behavior
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A neural model of the frontal eye fields with reward-based learning.
Neural networks : the official journal of the International Neural Network Society
May 24, 2016
Decision-making is a flexible process dependent on the accumulation of various kinds of information; however, the corresponding neural mechanisms are far from clear. We extended a layered model of the frontal eye field to a learning-based model, usin...
Extending unified-theory-of-reinforcement neural networks to steady-state operant behavior.
Behavioural processes
Mar 24, 2016
The unified theory of reinforcement has been used to develop models of behavior over the last 20 years (Donahoe et al., 1993). Previous research has focused on the theory's concordance with the respondent behavior of humans and animals. In this exper...
Multivariate representation of food preferences in the human brain.
Brain and cognition
Jan 6, 2016
One major goal in decision neuroscience is to investigate the neuronal mechanisms being responsible for the computation of product preferences. The aim of the present fMRI study was to investigate whether similar patterns of brain activity, reflectin...
Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information.
Neural networks : the official journal of the International Neural Network Society
Nov 4, 2015
We present an extension of a neurobiologically inspired robotics model, termed CoRLEGO (Choice reaching with a LEGO arm robot). CoRLEGO models experimental evidence from choice reaching tasks (CRT). In a CRT participants are asked to rapidly reach an...
Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences.
Artificial intelligence in medicine
Sep 8, 2015
OBJECTIVES: Inspired by real-world examples from the forensic medical sciences domain, we seek to determine whether a decision about an interventional action could be subject to amendments on the basis of some incomplete information within the model,...
Visual choice behavior by bumblebees (Bombus impatiens) confirms unsupervised neural network's predictions.
Journal of comparative psychology (Washington, D.C. : 1983)
May 18, 2015
The behavioral experiment herein tests the computational load hypothesis generated by an unsupervised neural network to examine bumblebee (Bombus impatiens) behavior at 2 visual properties: spatial frequency and symmetry. Untrained "flower-naïve" bum...
Investigating intertemporal choice through experimental evolutionary robotics.
Behavioural processes
Feb 23, 2015
In intertemporal choices, subjects face a trade-off between value and delay: achieving the most valuable outcome requires a longer time, whereas the immediately available option is objectively poorer. Intertemporal choices are ubiquitous, and compara...
Autoshaped choice in artificial neural networks: implications for behavioral economics and neuroeconomics.
Behavioural processes
Feb 4, 2015
An existing neural network model of conditioning was used to simulate autoshaped choice. In this phenomenon, pigeons first receive an autoshaping procedure with two keylight stimuli X and Y separately paired with food in a forward-delay manner, inter...
Women's Preferences and Willingness to Pay for AI Chatbots in Women's Health: Discrete Choice Experiment Study.
Journal of medical Internet research
Jun 10, 2025
BACKGROUND: Over 96% of adult women face health issues, with 70% experiencing conditions like infections. Mobile health education is increasingly popular but faces challenges in personalization and readability. Artificial intelligence (AI) chatbots p...
Robot or human musicians? The modulating role of perceived performer on how music influences food choices.
Applied psychology. Health and well-being
Jun 1, 2025
Previous research has shown that music robots may reshape people's perceptions of music and health-related behaviors. We investigated how the perceived identity of the music performers (humans or robots) influenced people's music-induced mental image...
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