TY - JOUR
T1 - Information Processing, Computation, and Cognition
AU - Piccinini, Gualtiero
N1 - Computation and information processing are among the most fundamental notions in cognitive science. They are also among the most imprecisely discussed. Many cognitive scientists take it for granted that cognition involves computation, information processing, or both - although others disagree vehemently.
Piccinini, G., & Scarantino, A. (2011). Information Processing, Computation, and Cognition. Journal of Biological Physics, 37(1), 1–38. https://doi.org/10.1007/s10867-010-9195-3
PY - 2011/1
Y1 - 2011/1
N2 - Computation and information processing are among the most fundamental notions in cognitive science. They are also among the most imprecisely discussed. Many cognitive scientists take it for granted that cognition involves computation, information processing, or both – although others disagree vehemently. Yet different cognitive scientists use ‘computation’ and ‘information processing’ to mean different things, sometimes without realizing that they do. In addition, computation and information processing are surrounded by several myths; first and foremost, that they are the same thing. In this paper, we address this unsatisfactory state of affairs by presenting a general and theory-neutral account of computation and information processing. We also apply our framework by analyzing the relations between computation and information processing on one hand and classicism, connectionism, and computational neuroscience on the other. We defend the relevance to cognitive science of both computation, at least in a generic sense, and information processing, in three important senses of the term. Our account advances several foundational debates in cognitive science by untangling some of their conceptual knots in a theory-neutral way. By leveling the playing field, we pave the way for the future resolution of the debates’ empirical aspects.
AB - Computation and information processing are among the most fundamental notions in cognitive science. They are also among the most imprecisely discussed. Many cognitive scientists take it for granted that cognition involves computation, information processing, or both – although others disagree vehemently. Yet different cognitive scientists use ‘computation’ and ‘information processing’ to mean different things, sometimes without realizing that they do. In addition, computation and information processing are surrounded by several myths; first and foremost, that they are the same thing. In this paper, we address this unsatisfactory state of affairs by presenting a general and theory-neutral account of computation and information processing. We also apply our framework by analyzing the relations between computation and information processing on one hand and classicism, connectionism, and computational neuroscience on the other. We defend the relevance to cognitive science of both computation, at least in a generic sense, and information processing, in three important senses of the term. Our account advances several foundational debates in cognitive science by untangling some of their conceptual knots in a theory-neutral way. By leveling the playing field, we pave the way for the future resolution of the debates’ empirical aspects.
KW - Classicism
KW - Cognitivism
KW - Computation
KW - Computational Neuroscience
KW - Computational Theory of Mind
KW - Computationalism
KW - Connectionism
KW - Information Processing
KW - Meaning
KW - Neural Computation
KW - Representation
UR - http://link.springer.com/article/10.1007/s10867-010-9195-3
U2 - 10.1007/s10867-010-9195-3
DO - 10.1007/s10867-010-9195-3
M3 - Article
VL - 37
JO - Journal of Biological Physics
JF - Journal of Biological Physics
ER -