The computer model of the mind has informed and guided debate in the cognitive sciences for over 40 years, and gives pride of place to symbols. In this paper I investigate the nature of computational symbols and show that even in the parade cases of symbolic computation, symbols are not doing all the semantic and computational work. This analysis has important consequences for the scope of cogn...

The aim of Schunn, Crowley and Okada’s (1998) study is to address the question of whether the current state of cognitive science, as represented by Cognitive Science and the Cognitive Science Society, “reflects the multidisciplinary ideals of its foundation.” To properly interpret and respond to their results, we need to ask a prior question: What is cognitive science’s multidisciplinary ideal?...

Experiences of art involve exercise of ordinary cognitive and perceptual capacities but in unique ways. These two features of experiences of art imply the mutual importance of aesthetics and cognitive science. Cognitive science provides empirical and theoretical analysis of the relevant cognitive capacities. Aesthetics thus does well to incorporate cognitive scientific research. Aesthetics also...

The cognitive models of information representation are fundamental research areas in cognitive informatics, which attempts to reveal the mechanisms and potential of the brain in learning and knowledge representation. Because memory is the foundation of all forms of natural intelligence, a generic model of memory, particularly the long-term memory, may explain the fundamental mechanism of intern...

Recent years have seen growing evidence of a fruitful engagement between phenomenology and cognitive science. This paper confronts an in-principle problem that stands in the way of this (perhaps unlikely) intellectual coalition, namely the fact that a tension exists between the transcendentalism that characterizes phenomenology and the naturalism that accompanies cognitive science. After articu...