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The central hypothesis of cognitive science is that thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures.
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Cognitive architectures serve as both unified theories of the mind and as computational infrastructures for constructing intelligent agents.
The lncRNome database has been designed keeping in mind both experimental and computational biologists, so as to provide ready access to biologically relevant data as per the needs of a user.
It keeps minds and computers in while leaving most everything else out, thereby vindicating the computational theory of cognition as a strong and nontrivial theory.
Its intellectual origins are in the mid-1950s when researchers in several fields began to develop theories of mind based on complex representations and computational procedures.
Most work in cognitive science assumes that the mind has mental representations analogous to computer data structures, and computational procedures similar to computational algorithms.
But philosophy remains important to cognitive science because it deals with fundamental issues that underlie the experimental and computational approach to mind.
VERSE is specifically designed with the diversity and scale of today's NGS applications and computational efficiency in mind.
Present research is focused on the experimental and computational studies of nanostructured silver films, having in mind these two perspectives.
The emergence of computational theories of mind and advances in the understanding of neurophysiology have contributed to a renewal of interest in consciousness, which had long been avoided by philosophers and scientists alike as a hopelessly subjective phenomenon.
The increasing integration of cognitive psychology with neuroscience provides evidence for the mind-brain identity theory according to which mental processes are neural, representational, and computational.
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