Quantum Probability in Operant Conditioning - Behavioral Uncertainty in Reinforcement Learning

Eduardo Alonso; Esther Mondragon

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Paper

Quantum Probability in Operant Conditioning - Behavioral Uncertainty in Reinforcement Learning

Topics: Cognitive Systems; Uncertainty in AI

In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, 548-551, 2014 , ESEO, Angers, Loire Valley, France

Authors: Eduardo Alonso ¹ and Esther Mondragon ²

Affiliations: ¹ City University London and Centre for Computational and Animal Research Centre, United Kingdom ; ² Centre for Computational and Animal Research Centre, United Kingdom

Keyword(s): Operant Conditioning, Reinforcement Learning, Uncertainty, Quantum Probability, Classical Probability.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Cognitive Systems ; Computational Intelligence ; Evolutionary Computing ; Soft Computing ; Symbolic Systems ; Uncertainty in AI

Abstract: An implicit assumption in the study of operant conditioning and reinforcement learning is that behavior is stochastic, in that it depends on the probability that an outcome follows a response and on how the presence or absence of the output affects the frequency of the response. In this paper we argue that classical probability is not the right tool to represent uncertainty operant conditioning and propose an interpretation of behavioral states in terms of quantum probability instead.

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Paper citation in several formats:

Alonso, E. and Mondragon, E. (2014). Quantum Probability in Operant Conditioning - Behavioral Uncertainty in Reinforcement Learning. In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-015-4; ISSN 2184-433X, SciTePress, pages 548-551. DOI: 10.5220/0004903205480551

@conference{icaart14,
author={Eduardo Alonso. and Esther Mondragon.},
title={Quantum Probability in Operant Conditioning - Behavioral Uncertainty in Reinforcement Learning},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2014},
pages={548-551},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004903205480551},
isbn={978-989-758-015-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Quantum Probability in Operant Conditioning - Behavioral Uncertainty in Reinforcement Learning
SN - 978-989-758-015-4
IS - 2184-433X
AU - Alonso, E.
AU - Mondragon, E.
PY - 2014
SP - 548
EP - 551
DO - 10.5220/0004903205480551
PB - SciTePress