Computational models of classical conditioning

Computational Models of Classical Conditioning - A Qualitative Evaluation and Comparison

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...

Computational Models of Classical Conditioning: a Comparative Study

We describe computer simulation of a number of associative models of classical conditioning in an attempt to assess the strengths and weaknesses of each model. The behavior of the Sutton-Barto model, the TD model, the Klopf model, the Balkenius model and the SchmajukDiCarlo model are investigated in a number of simple learning situations. All models are shown to have problems explaining some of...

Uses and Abuses and Misuses of Computational Models in Classical Conditioning

Classical conditioning is at the heart of most learning phenomena. It is thus essential that we develop accurate models of conditioning; since, psychological models rely heavily in verbal accounts that are necessarily imprecise it has become apparent that the development of computational models is imperious. However, we need to separate the wheat from the chaff. In this paper we review the main...

What Have Computational Models Ever Done for Us?: A Case Study in Classical Conditioning

The last 50 years have seen the progressive refinement of our understanding of the mechanisms of classical conditioning and this has resulted in the development of several influential theories that are able to explain with considerable precision a wide variety of experimental findings, and to make non-intuitive predictions that have been confirmed. This success has spurred the development of in...

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