Connectionism, classical cognitive science and experimental psychology

AI and Society 4 (1):73-90 (1990)
Classical symbolic computational models of cognition are at variance with the empirical findings in the cognitive psychology of memory and inference. Standard symbolic computers are well suited to remembering arbitrary lists of symbols and performing logical inferences. In contrast, human performance on such tasks is extremely limited. Standard models donot easily capture content addressable memory or context sensitive defeasible inference, which are natural and effortless for people. We argue that Connectionism provides a more natural framework in which to model this behaviour. In addition to capturing the gross human performance profile, Connectionist systems seem well suited to accounting for the systematic patterns of errors observed in the human data. We take these arguments to counter Fodor and Pylyshyn's (1988) recent claim that Connectionism is, in principle, irrelevant to psychology
Keywords Connectionism  Classical cognitive science  Experimental psychology  Memory  Inference
Categories (categorize this paper)
DOI 10.1007/BF01889765
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history
Request removal from index
Download options
Our Archive

Upload a copy of this paper     Check publisher's policy     Papers currently archived: 29,492
Through your library
References found in this work BETA
Criticism and the Growth of Knowledge.Imre Lakatos & Alan Musgrave (eds.) - 1970 - Cambridge University Press.
The Structure of Scientific Revolutions.Thomas S. Kuhn - 1962 - University of Chicago Press.
The Language of Thought.Jerry A. Fodor - 1975 - Harvard University Press.

View all 20 references / Add more references

Citations of this work BETA
Against Logicist Cognitive Science.Mike Oaksford & Nick Chater - 1991 - Mind and Language 6 (1):1-38.

Add more citations

Similar books and articles
Added to PP index

Total downloads
55 ( #97,109 of 2,180,628 )

Recent downloads (6 months)
1 ( #302,011 of 2,180,628 )

How can I increase my downloads?

Monthly downloads
My notes
Sign in to use this feature

There  are no threads in this forum
Nothing in this forum yet.

Other forums