David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Behavioral and Brain Sciences 1 (1):98-128 (1978)
It is argued that the traditional distinction between artificial intelligence and cognitive simulation amounts to little more than a difference in style of research - a different ordering in goal priorities and different methodological allegiances. Both enterprises are constrained by empirical considerations and both are directed at understanding classes of tasks that are defined by essentially psychological criteria. Because of the different ordering of priorities, however, they occasionally take somewhat different stands on such issues as the power/generality trade-off and on the relevance of the sort of data collected in experimental psychology laboratories
|Keywords||artificial intelligence cognition cognitive science methodology empirical constraints computer simulation|
|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
Nelson Goodman (1983). Fact, Fiction, and Forecast. Harvard University Press.
Herbert A. Simon (1969). The Sciences of the Artificial. [Cambridge, M.I.T. Press.
Jerry A. Fodor (1975). The Language of Thought. Harvard University Press.
Robert C. Cummins (1975). Functional Analysis. Journal of Philosophy 72 (November):741-64.
Daniel C. Dennett (1971). Intentional Systems. Journal of Philosophy 68 (February):87-106.
Citations of this work BETA
Annette Karmiloff-Smith (1986). From Meta-Processes to Conscious Access: Evidence From Children's Metalinguistic and Repair Data. Cognition 23 (2):95-147.
Julie C. Rutkowska (1990). Action, Connectionism and Enaction: A Developmental Perspective. [REVIEW] AI and Society 4 (2):96-114.
David J. Buller (1993). Confirmation and the Computational Paradigm, or, Why Do You Think They Call It Artificial Intelligence? [REVIEW] Minds and Machines 3 (2):155-81.
George A. Miller (1981). Trends and Debates in Cognitive Psychology. Cognition 10 (1-3):215-225.
David J. Buller (1993). Confirmation and the Computational Paradigm (Or: Why Do You Think They Call Itartificial Intelligence?). [REVIEW] Minds and Machines 3 (2):155-181.
Similar books and articles
Axel Gelfert (2009). Rigorous Results, Cross-Model Justification, and the Transfer of Empirical Warrant: The Case of Many-Body Models in Physics. Synthese 169 (3):497 - 519.
John Symons (2008). Computational Models of Emergent Properties. Minds and Machines 18 (4):475-491.
David J. Kijowski, Harry Dankowicz & Michael C. Loui (2013). Observations on the Responsible Development and Use of Computational Models and Simulations. Science and Engineering Ethics 19 (1):63-81.
Paul Thagard (1986). Computational Models in the Philosophy of Science. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:329 - 335.
Sashank Varma (2011). Criteria for the Design and Evaluation of Cognitive Architectures. Cognitive Science 35 (7):1329-1351.
David Michael Kaplan (2011). Explanation and Description in Computational Neuroscience. Synthese 183 (3):339-373.
Zenon W. Pylyshyn (1989). Computing and Cognitive Science. In Michael I. Posner (ed.), Foundations of Cognitive Science. MIT Press
Added to index2009-01-28
Total downloads6 ( #454,452 of 1,793,064 )
Recent downloads (6 months)2 ( #344,508 of 1,793,064 )
How can I increase my downloads?