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Authors: Eduardo Alonso 1 ; Pavandeep Sahota 2 and Esther Mondragón 3

Affiliations: 1 City University London and Centre for Computational and Animal Research Centre, United Kingdom ; 2 City University London, United Kingdom ; 3 Centre for Computational and Animal Research Centre, United Kingdom

Keyword(s): Computational Models, Classical Conditioning, Quantitative and Qualitative Evaluation, Comparison.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Cognitive Systems ; Computational Intelligence ; Enterprise Information Systems ; Evolutionary Computing ; Information Systems Analysis and Specification ; Methodologies and Technologies ; Operational Research ; Simulation ; Soft Computing ; Symbolic Systems

Abstract: Classical conditioning is a fundamental paradigm in the study of learning and thus in understanding cognitive processes and behaviour, for which we need comprehensive and accurate models. This paper aims at evaluating and comparing a collection of influential computational models of classical conditioning by analysing the models themselves and against one another qualitatively. The results will clarify the state of the art in the area and help develop a standard model of classical conditioning.

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Paper citation in several formats:
Alonso, E.; Sahota, P. and Mondragón, E. (2014). Computational Models of Classical Conditioning - A Qualitative Evaluation and Comparison. 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 544-547. DOI: 10.5220/0004903105440547

@conference{icaart14,
author={Eduardo Alonso. and Pavandeep Sahota. and Esther Mondragón.},
title={Computational Models of Classical Conditioning - A Qualitative Evaluation and Comparison},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2014},
pages={544-547},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004903105440547},
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 - Computational Models of Classical Conditioning - A Qualitative Evaluation and Comparison
SN - 978-989-758-015-4
IS - 2184-433X
AU - Alonso, E.
AU - Sahota, P.
AU - Mondragón, E.
PY - 2014
SP - 544
EP - 547
DO - 10.5220/0004903105440547
PB - SciTePress

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