Computing and cognitive science
In Michael I. Posner (ed.), Foundations of Cognitive Science. MIT Press (1989)
| Abstract | influence. One of the principal characteristics that distinguishes Cognitive Science from more traditional studies of cognition within Psychology, is the extent to which it has been influenced by both the ideas and the techniques of computing. It may come as a surprise to the outsider, then, to discover that there is no unanimity within the discipline on either (a) the nature (and in some cases the desireabilty) of the influence and (b) what computing is –- or at least on its | |||||||||
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Vincent C. Müller (2009). Symbol Grounding in Computational Systems: A Paradox of Intentions. Minds and Machines 19 (4):529-541.
Gheorghe Paun & Mario J. Pérez-Jiménez (2003). Recent Computability Models Inspired From Biology: DNA and Membrane Computing. Theoria 18 (1):71-84.
Gualtiero Piccinini (2007). Computing Mechanisms. Philosophy of Science 74 (4):501-526.
Jon Cogburn & Mark Silcox (2005). Computing Machinery and Emergence: The Aesthetics and Metaphysics of Video Games. Minds and Machines 15 (1).
James H. Fetzer (1997). Thinking and Computing: Computers as Special Kinds of Signs. Minds and Machines 7 (3):345-364.
Gordana Dodig-Crnkovic (2003). Shifting the Paradigm of Philosophy of Science: Philosophy of Information and a New Renaissance. Minds and Machines 13 (4):521-536.
Matti Tedre (2011). Computing as a Science: A Survey of Competing Viewpoints. Minds and Machines 21 (3):361-387.
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