AIMC Topic: Choice Behavior
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Predicting similarity judgments in intertemporal choice with machine learning.
Psychonomic bulletin & review
Apr 1, 2018
Similarity models of intertemporal choice are heuristics that choose based on similarity judgments of the reward amounts and time delays. Yet, we do not know how these judgments are made. Here, we use machine-learning algorithms to assess what factor...
The promise of cyborg intelligence.
Learning & behavior
Mar 1, 2017
Yu et al. (2016) demonstrated that algorithms designed to find efficient routes in standard mazes can be integrated with the natural processes controlling rat navigation and spatial choices, and they pointed out the promise of such "cyborg intelligen...
A hierarchical two-phase framework for selecting genes in cancer datasets with a neuro-fuzzy system.
Technology and health care : official journal of the European Society for Engineering and Medicine
Apr 29, 2016
Finding the minimum number of appropriate biomarkers for specific targets such as a lung cancer has been a challenging issue in bioinformatics. We propose a hierarchical two-phase framework for selecting appropriate biomarkers that extracts candidate...
Goal-Directed Decision Making with Spiking Neurons.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Feb 3, 2016
UNLABELLED: Behavioral and neuroscientific data on reward-based decision making point to a fundamental distinction between habitual and goal-directed action selection. The formation of habits, which requires simple updating of cached values, has been...
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