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 increasingly sophisticated models that encompass more complex phenomena. In such context, it is widely acknowledged that computational modeling plays a fundamental part. In this paper the authors analyze critically the role that computational models, as simulators and as psychological models by proxy, have played in this enterprise
The papers in this special issue focus on computational modeling of emotion recognition. Emotions pl...
One particularly successful approach to modeling within cognitive science is computational psycholog...
Computational modelling has a rich history of successful use in researching cognitive phenomena. Its...
The last 50 years have seen the progressive refinement of our understanding of the mechanisms of cla...
Classical conditioning is at the heart of most learning phenomena. It is thus essential that we deve...
In the present special issue, the performance of current computational models of classical condition...
Classical conditioning is a fundamental paradigm in the study of learning and thus in understanding ...
In this paper, I argue that computationalism is a progressive research tradition. Its metaphysical a...
“This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Experiment...
Previously I outlined a scheme for understanding the usefulness of computational models.1 This schem...
Using four examples of models and computer simulations from the history of psychology, I discuss som...
Computational modellers are not always explicit about their motivations for constructing mod- els, ...
Item does not contain fulltextPsychology endeavors to develop theories of human capacities and behav...
Scientists can reason about natural systems, including the mind and brain, in many ways, with each f...
Previously I outlined a scheme for understanding the usefulness of compu-tational models.1 This sche...
The papers in this special issue focus on computational modeling of emotion recognition. Emotions pl...
One particularly successful approach to modeling within cognitive science is computational psycholog...
Computational modelling has a rich history of successful use in researching cognitive phenomena. Its...
The last 50 years have seen the progressive refinement of our understanding of the mechanisms of cla...
Classical conditioning is at the heart of most learning phenomena. It is thus essential that we deve...
In the present special issue, the performance of current computational models of classical condition...
Classical conditioning is a fundamental paradigm in the study of learning and thus in understanding ...
In this paper, I argue that computationalism is a progressive research tradition. Its metaphysical a...
“This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Experiment...
Previously I outlined a scheme for understanding the usefulness of computational models.1 This schem...
Using four examples of models and computer simulations from the history of psychology, I discuss som...
Computational modellers are not always explicit about their motivations for constructing mod- els, ...
Item does not contain fulltextPsychology endeavors to develop theories of human capacities and behav...
Scientists can reason about natural systems, including the mind and brain, in many ways, with each f...
Previously I outlined a scheme for understanding the usefulness of compu-tational models.1 This sche...
The papers in this special issue focus on computational modeling of emotion recognition. Emotions pl...
One particularly successful approach to modeling within cognitive science is computational psycholog...
Computational modelling has a rich history of successful use in researching cognitive phenomena. Its...