Computational modeling has long been one of the traditional pillars of cognitive science. Unfortu-nately, the computer models of cognition being developed today have not kept up with the enormous changes that have taken place in computer technology and, especially, in human-computer inter-faces. For all intents and purposes, modeling is still done today as it was 25, or even 35, years ago. Everyone still programs in his or her own favorite programming language, source code is rarely made available, accessibility of models to non-programming researchers is essentially non-existent, and even for other modelers, the profusion of source code in a multitude of programming languages, writ-ten without programming guidelines, makes it almost imposs...
Computational models are notoriously difficult to compare and interpret, resulting in a community se...
In the fields of artificial intelligence and cognitive science, computational models of scientific d...
This open access book introduces a general framework that allows natural language researchers to enh...
Computational modeling has long been one of the traditional pillars of cognitive science. Unfortunat...
In this paper, I argue that computationalism is a progressive research tradition. Its metaphysical a...
Contemporary methods of computational cognitive modeling have recently been criticized by Addyman an...
Contemporary methods of computational cognitive modeling have recently been criticized by Addyman an...
Previously I outlined a scheme for understanding the usefulness of compu-tational models.1 This sche...
International audienceComputational models lie at the heart of computational science. And yet, few s...
International audienceThere is a rich tradition of building computational models in cognitive scienc...
In this chapter we present and discuss models in the context of cognitive sciences, that is, the sci...
Computational models and tools provide increasingly solid foundations for the study of cognition and...
This special issue of Cognitive Systems Research features the top twelve papers from the 4th Interna...
Computational modelling has a rich history of successful use in researching cognitive phenomena. Its...
Talk presented at the SIAM CSE23 conference MS321 An Update on Software Engineering for Science Abs...
Computational models are notoriously difficult to compare and interpret, resulting in a community se...
In the fields of artificial intelligence and cognitive science, computational models of scientific d...
This open access book introduces a general framework that allows natural language researchers to enh...
Computational modeling has long been one of the traditional pillars of cognitive science. Unfortunat...
In this paper, I argue that computationalism is a progressive research tradition. Its metaphysical a...
Contemporary methods of computational cognitive modeling have recently been criticized by Addyman an...
Contemporary methods of computational cognitive modeling have recently been criticized by Addyman an...
Previously I outlined a scheme for understanding the usefulness of compu-tational models.1 This sche...
International audienceComputational models lie at the heart of computational science. And yet, few s...
International audienceThere is a rich tradition of building computational models in cognitive scienc...
In this chapter we present and discuss models in the context of cognitive sciences, that is, the sci...
Computational models and tools provide increasingly solid foundations for the study of cognition and...
This special issue of Cognitive Systems Research features the top twelve papers from the 4th Interna...
Computational modelling has a rich history of successful use in researching cognitive phenomena. Its...
Talk presented at the SIAM CSE23 conference MS321 An Update on Software Engineering for Science Abs...
Computational models are notoriously difficult to compare and interpret, resulting in a community se...
In the fields of artificial intelligence and cognitive science, computational models of scientific d...
This open access book introduces a general framework that allows natural language researchers to enh...