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Computational Models of Classical Conditioning: A Qualitative Evaluation and Comparison

Alonso, E., Sahota, P. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2014). Computational Models of Classical Conditioning: A Qualitative Evaluation and Comparison. Paper presented at the 6th International Conference on Agents and Artificial Intelligence (ICAART 2014), 06-03-2014 - 08-03-2014, Angers, France.


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.

Publication Type: Conference or Workshop Item (Paper)
Publisher Keywords: Computational Models, Classical Conditioning, Quantitative and Qualitative Evaluation, Comparison
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science
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