David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Some controversies in cognitive science, such as arguments about whether classical or distributed connectionist architectures best model the human cognitive system, reenact long-standing debates in the philosophy of science. For millennia philosophers have pondered whether mentality can submit to scientific explanation generally and to physical explanation particularly. Recently, positive answers have gained popularity. The question remains, though, as to the analytical level at which mentality is best explained. Is there a level of analysis that is peculiarly appropriate for the explanation of either consciousness or mental contents? Are human consciousness, cognition, and conduct best understood in terms of talk about neurons and networks or schemas and scripts or intentions and inferences? If our best accounts make no appeal to our hopes or beliefs or desires, how do we square those views with our conception of ourselves as rational beings? Moreover, can models of physical processes explain our mental lives? Does mentality require a special level of rational or cognitive explanation or is it best understood in terms of overall brain functioning or neuronal or molecular or even quantum activities--or any of a dozen levels of physical explanation in between? Also, regardless of how they compare with explanations cast at physical levels, what is the status of psychological explanations that appeal fundamentally to mental contents? As a means for beginning to address such questions, proposals about cognitive architecture concern which kind of explanation best characterizes primitive psychological activities. Although, technically, approaches to modeling those activities are unlimited, two 1 strategies have enjoyed most of the attention. The prominence of the classical account and the distributed connectionist (or parallel distributed processing (PDP)) account, notwithstanding, nothing bars the development of additional proposals. Classicism employs rules that apply to symbolic representations to explain cognitive processing..
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
John K. Kruschke (2010). Bridging Levels of Analysis: Comment on McClelland Et Al. And Griffiths Et Al. Trends in Cognitive Sciences 14 (8):344-345.
Similar books and articles
Jerry A. Fodor & Zenon W. Pylyshyn (1988). Connectionism and Cognitive Architecture. Cognition 28 (1-2):3-71.
Gregory Johnson (2012). The Relationship Between Psychological Capacities and Neurobiological Activities. European Journal for Philosophy of Science 2 (3):453-480.
Antti Revonsuo (1999). Neuroscience and the Explanation of Psychological Phenomena. Behavioral and Brain Sciences 22 (5):847-849.
Ron Sun, Andrew Coward & Michael J. Zenzen (2005). On Levels of Cognitive Modeling. Philosophical Psychology 18 (5):613-637.
Ron Sun (2001). Computation, Reduction, and Teleology of Consciousness. Cognitive Systems Research 1 (1):241-249.
Kristin Andrews (2003). Knowing Mental States: The Asymmetry of Psychological Prediction and Explanation. In Quentin Smith & Aleksandar Jokic (eds.), Consciousness: New Philosophical Perspectives. Oxford University Press
Giuseppe Boccignone & Roberto Cordeschi, Bayesian Models and Simulations in Cognitive Science. Workshop Models and Simulations 2, Tillburg, NL.
B. Franks (1999). Discussion. Idealizations, Competence and Explanation: A Response to Patterson. British Journal for the Philosophy of Science 50 (4):735-746.
Jay F. Rosenberg (1994). Comments on Bechtel, Levels of Description and Explanation in Cognitive Science. Minds and Machines 4 (1):27-37.
William P. Bechtel (1994). Levels of Description and Explanation in Cognitive Science. Minds and Machines 4 (1):1-25.
Added to index2009-01-28
Total downloads325 ( #2,179 of 1,725,575 )
Recent downloads (6 months)319 ( #206 of 1,725,575 )
How can I increase my downloads?