Minds and Machines 10 (3):361-380 (2000)
|Abstract||In this paper I defend the propriety of explaining the behavior of distributed connectionist networks by appeal to selected data stored therein. In particular, I argue that if there is a problem with such explanations, it is a consequence of the fact that information storage in networks is superpositional, and not because it is distributed. I then develop a ``proto-account'''' of causation for networks, based on an account of Andy Clark''s, that shows even superpositionality does not undermine information-based explanation. Finally, I argue that the resulting explanations are genuinely informative and not vacuous|
|Keywords||Causation Connectionism Explanation Information Logic Representation|
|Through your library||Configure|
Similar books and articles
Dan Lloyd (1996). Consciousness, Connectionism, and Cognitive Neuroscience: A Meeting of the Minds. Philosophical Psychology 9 (1):61-78.
Jeffrey S. Bowers (2000). Further Arguments in Support of Localist Coding in Connectionist Networks. Behavioral and Brain Sciences 23 (4):471-471.
John Hawthorne (1989). On the Compatibility of Connectionist and Classical Models. Philosophical Psychology 2 (1):5-16.
Barbara Von Eckardt (2003). The Explanatory Need for Mental Representations in Cognitive Science. Mind and Language 18 (4):427-439.
Martin Davies (1989). Connectionism, Modularity and Tacit Knowledge. British Journal for the Philosophy of Science 40 (December):541-55.
Ruth Berger (1998). Understanding Science: Why Causes Are Not Enough. Philosophy of Science 65 (2):306-332.
William Bechtel (1993). Currents in Connectionism. Minds and Machines 3 (2):125-153.
George Botterill (2010). Two Kinds of Causal Explanation. Theoria 76 (4):287-313.
Jonathan Opie & Gerard O'Brien (2006). How Do Connectionist Networks Compute? Cognitive Processing 7 (1):30-41.
Added to index2009-01-28
Total downloads33 ( #37,170 of 556,769 )
Recent downloads (6 months)6 ( #13,000 of 556,769 )
How can I increase my downloads?