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Published in 2018 at "Memetic Computing"
DOI: 10.1007/s12293-018-0263-8
Abstract: Traversal-based automated software testing involves testing an application via its graphical user interface (GUI) and thereby taking the user’s point of view and executing actions in a human-like manner. These actions are decided on the…
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Keywords:
evolve action;
genetic programming;
action selection;
software ... See more keywords
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Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.1218
Abstract: Abstract Reinforcement learning techniques enable robots to deal with their own dynamics and with unknown environments without using explicit models or preprogrammed behaviors. However, reinforcement learning relies on intrinsically risky exploration, which is often damaging…
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Keywords:
exploration;
damage;
action selection;
reinforcement learning ... See more keywords
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Published in 2017 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2017.02.015
Abstract: Abstract Sense of agency (SoA) refers to the feeling that we are in control of our actions and, through them, of events in the outside world. One influential view claims that the SoA depends on…
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Keywords:
sense agency;
agency;
action selection;
action ... See more keywords
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Published in 2021 at "Neuron"
DOI: 10.1016/j.neuron.2020.12.025
Abstract: The subthalamic nucleus (STN) supports action selection by inhibiting all motor programs except the desired one. Recent evidence suggests that STN can also cancel an already selected action when goals change, a key aspect of…
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Keywords:
stop signal;
action selection;
stn;
selection cancellation ... See more keywords
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Published in 2021 at "Neuroscience"
DOI: 10.1016/j.neuroscience.2021.05.010
Abstract: To make optimal decisions in uncertain circumstances flexible adaption of behaviour is required; exploring alternatives when the best choice is unknown, exploiting what is known when that is best. Using a computational model of the…
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Keywords:
model;
action selection;
tonic dopamine;
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3136646
Abstract: This letter describes a means to produce emergent collaboration between a human driver and an artificial co-driver agent. The work exploits the hypothesis that human-human cooperation emerges from a shared understanding of the given context’s…
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Keywords:
biasing action;
selection produces;
agent;
action selection ... See more keywords
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Published in 2021 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2021.3057649
Abstract: Policy rollout is a method for the online computation of future costs in approximate dynamic programming and has been utilized for various problems, including sensor management. In previous work, it has predominately been applied to…
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Keywords:
policy rollout;
selection continuous;
sensor path;
path planning ... See more keywords
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Published in 2022 at "IEEE Transactions on Robotics"
DOI: 10.1109/tro.2021.3106832
Abstract: Locomotion in animals provides a model for adaptive behavior as it is able to deal with various kinds of perturbations. Work in insects suggests that this evolved flexibility results from a modular architecture, which can…
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Keywords:
action selection;
control;
adaptive locomotion;
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Published in 2019 at "Annual review of psychology"
DOI: 10.1146/annurev-psych-010418-102824
Abstract: Making decisions in environments with few choice options is easy. We select the action that results in the most valued outcome. Making decisions in more complex environments, where the same action can produce different outcomes…
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Keywords:
integrated model;
action selection;
control;
making ... See more keywords
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Published in 2020 at "eNeuro"
DOI: 10.1523/eneuro.0492-19.2020
Abstract: Abstract Behavioral studies have shown that the human motor system recycles motor parameters of previous actions, such as movement amplitude, when programming new actions. Shifting motor plans toward a new action forms a particularly severe…
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Keywords:
action selection;
parkinson disease;
motor;
action ... See more keywords
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Published in 2021 at "Frontiers in Behavioral Neuroscience"
DOI: 10.3389/fnbeh.2021.655029
Abstract: Several lines of evidence accrued over the last 5–10 years have converged to suggest that the parafascicular nucleus of the thalamus and the lateral orbitofrontal cortex each represent or contribute to internal state/context representations that…
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Keywords:
directed action;
goal directed;
action selection;
action ... See more keywords