Value and Reward Based Learning in Neurobots

Organisms are equipped with value systems that signal the salience of environmental cues to their nervous system, causing a change in the nervous system that results in modification of their behavior. These systems are necessary for an organism to adapt its behavior when an important environmental e...

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Prif Awduron: Jeffrey L. Krichmar, Florian Rohrbein
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Cyhoeddwyd: Frontiers Media SA 2021
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Mynediad Ar-lein:18186
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author Jeffrey L. Krichmar
Florian Rohrbein
author_browse Florian Rohrbein
Jeffrey L. Krichmar
author_facet Jeffrey L. Krichmar
Florian Rohrbein
author_sort Jeffrey L. Krichmar
collection Directory of Open Access Books
description Organisms are equipped with value systems that signal the salience of environmental cues to their nervous system, causing a change in the nervous system that results in modification of their behavior. These systems are necessary for an organism to adapt its behavior when an important environmental event occurs. A value system constitutes a basic assumption of what is good and bad for an agent. These value systems have been effectively used in robotic systems to shape behavior. For example, many robots have used models of the dopaminergic system to reinforce behavior that leads to rewards. Other modulatory systems that shape behavior are acetylcholine’s effect on attention, norepinephrine’s effect on vigilance, and serotonin’s effect on impulsiveness, mood, and risk. Moreover, hormonal systems such as oxytocin and its effect on trust constitute as a value system. This book presents current research involving neurobiologically inspired robots whose behavior is: 1) Shaped by value and reward learning, 2) adapted through interaction with the environment, and 3) shaped by extracting value from the environment.
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spelling doab-20.500.12854ir-618472024-04-05T17:30:25Z Value and Reward Based Learning in Neurobots Jeffrey L. Krichmar Florian Rohrbein RC321-571 Q1-390 reward-based learning basal ganglia embodied cognition value system neurorobotics action selection Neuromodulation reinforcement learning thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Organisms are equipped with value systems that signal the salience of environmental cues to their nervous system, causing a change in the nervous system that results in modification of their behavior. These systems are necessary for an organism to adapt its behavior when an important environmental event occurs. A value system constitutes a basic assumption of what is good and bad for an agent. These value systems have been effectively used in robotic systems to shape behavior. For example, many robots have used models of the dopaminergic system to reinforce behavior that leads to rewards. Other modulatory systems that shape behavior are acetylcholine’s effect on attention, norepinephrine’s effect on vigilance, and serotonin’s effect on impulsiveness, mood, and risk. Moreover, hormonal systems such as oxytocin and its effect on trust constitute as a value system. This book presents current research involving neurobiologically inspired robots whose behavior is: 1) Shaped by value and reward learning, 2) adapted through interaction with the environment, and 3) shaped by extracting value from the environment. 2021-02-12T07:20:34Z 2021-02-12T07:20:34Z 2016-01-19 14:05:46 2015 book 18186 16648714 9782889194315 https://directory.doabooks.org/handle/20.500.12854/61847 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Value_and_Reward_Based_Learning_in_Neurobots/454 http://journal.frontiersin.org/researchtopic/924/value-and-reward-based-learning-in-neurobots Frontiers Media SA 10.3389/978-2-88919-431-5 10.3389/978-2-88919-431-5 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889194315 158 open access
spellingShingle RC321-571
Q1-390
reward-based learning
basal ganglia
embodied cognition
value system
neurorobotics
action selection
Neuromodulation
reinforcement learning
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
Jeffrey L. Krichmar
Florian Rohrbein
Value and Reward Based Learning in Neurobots
title Value and Reward Based Learning in Neurobots
title_full Value and Reward Based Learning in Neurobots
title_fullStr Value and Reward Based Learning in Neurobots
title_full_unstemmed Value and Reward Based Learning in Neurobots
title_short Value and Reward Based Learning in Neurobots
title_sort value and reward based learning in neurobots
topic RC321-571
Q1-390
reward-based learning
basal ganglia
embodied cognition
value system
neurorobotics
action selection
Neuromodulation
reinforcement learning
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
topic_facet RC321-571
Q1-390
reward-based learning
basal ganglia
embodied cognition
value system
neurorobotics
action selection
Neuromodulation
reinforcement learning
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
url 18186
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