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 uses of the term computational model in conditioning
Avoidance towards innocuous stimuli is a key characteristic across anxiety-related disorders and chr...
One particularly successful approach to modeling within cognitive science is computational psycholog...
The nature and amount of information needed for learning a natural language, and the underlying mech...
The last 50 years have seen the progressive refinement of our understanding of the mechanisms of cla...
Classical conditioning is a fundamental paradigm in the study of learning and thus in understanding ...
In the present special issue, the performance of current computational models of classical condition...
We describe computer simulation of a number of associative models of classical conditioning in an at...
Computational modellers are not always explicit about their motivations for constructing mod- els, ...
“This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Experiment...
In this chapter, we consider computational approaches to understanding learning and teaching. We con...
The principal objective of this paper is to argue the thesis that a science concerned with the study...
In this paper, I argue that computationalism is a progressive research tradition. Its metaphysical a...
Previously I outlined a scheme for understanding the usefulness of compu-tational models.1 This sche...
Previously I outlined a scheme for understanding the usefulness of computational models.1 This schem...
We survey the utility and function of mathematical and computational models in cognitive science by ...
Avoidance towards innocuous stimuli is a key characteristic across anxiety-related disorders and chr...
One particularly successful approach to modeling within cognitive science is computational psycholog...
The nature and amount of information needed for learning a natural language, and the underlying mech...
The last 50 years have seen the progressive refinement of our understanding of the mechanisms of cla...
Classical conditioning is a fundamental paradigm in the study of learning and thus in understanding ...
In the present special issue, the performance of current computational models of classical condition...
We describe computer simulation of a number of associative models of classical conditioning in an at...
Computational modellers are not always explicit about their motivations for constructing mod- els, ...
“This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Experiment...
In this chapter, we consider computational approaches to understanding learning and teaching. We con...
The principal objective of this paper is to argue the thesis that a science concerned with the study...
In this paper, I argue that computationalism is a progressive research tradition. Its metaphysical a...
Previously I outlined a scheme for understanding the usefulness of compu-tational models.1 This sche...
Previously I outlined a scheme for understanding the usefulness of computational models.1 This schem...
We survey the utility and function of mathematical and computational models in cognitive science by ...
Avoidance towards innocuous stimuli is a key characteristic across anxiety-related disorders and chr...
One particularly successful approach to modeling within cognitive science is computational psycholog...
The nature and amount of information needed for learning a natural language, and the underlying mech...