anwst@cisunx.UUCP (Anders N. Weinstein) (02/04/89)
I agree with Harnad on one point: the interpretation of "typicality effects" in categorization phenomena as supporting the idea that category membership must be graded looks like a non-sequitor. I would have thought that finding such effects for manifestly definitional categories like "triangle" or "even number" would make this quite obvious. One understands what an even number is if one can state and apply the definition; the typicality effects are of course real but should be viewed as epiphenomenal from the point of view of understanding the concept. If one is alerted to the anti-psychologistic bent of philosophy in the Frege- Wittgenstein tradition, one will distinguish sharply between the normative question of which things are *correctly* classified as birds or even numbers, and the descriptive question of how in fact our neural machinery functions to enable us to so classify things. I agree also with Harnad that psychology ought to keep its focus on the latter and not the former of these questions. However, I think Harnad errs when he succumbs to the tempting view that reliable categorization *must* be interestingly describable as application of some (perhaps complex) rule in "featurese" (for some appropriate set of detectable features). How does this follow? Limiting ourselves (as I think we must) to quick and automatic observational classification, it seems to be a safe conclusion that we have some neurally realized recognition machine. If we suppose, as seems reasonable, that the effects of context on such tasks are minimal, we can conclude that there must be within us some isolable module which can take sensory input and produce a one bit yes-or-no output for category membership. But how does it follow that such a device must be describable as applying some *rule*? Any physical object in the world could be treated as a recognition device for something by interpreting some of its states as "inputs" and some as "yes-or-no responses." But intuitively, it looks like not every such machine is usefully described as applying a rule in this way. In particular, this certainly doesn't seem a natural way of describing connectionist pattern recognizers. So why couldn't it turn out that there is just no simpler description of the "rule" for certain category membership than: whatever a machine of a certain type recognizes? -- Anders Weinstein ARPA: anwst@unix.cis.pittsburgh.edu U. Pitt. Philosophy UUCP: {cadre,psuvax1}!pitt!cisunx!anwst Pittsburgh, PA 15260 BITNET: anwst@pittvms
lee@uhccux.uhcc.hawaii.edu (Greg Lee) (02/04/89)
From article <15585@cisunx.UUCP>, by anwst@cisunx.UUCP (Anders N. Weinstein): "... But intuitively, it looks like " not every such machine is usefully described as applying a rule in this " way. I share your intuition. If you don't understand how the machine works, how can you give a rule? " In particular, this certainly doesn't seem a natural way of " describing connectionist pattern recognizers. So why couldn't it turn out " that there is just no simpler description of the "rule" for certain " category membership than: whatever a machine of a certain type recognizes? It could, clearly. It's like those puzzles where you're given a few numbers in sequence -- 1, 3, 22, 23, ... -- and asked to give the next one. Except here it's inscrutable Nature talking, so there's no reason to expect to find the answer, and we really should just reply: "Ha! I'm not going to fall for that one -- you tell me." Greg, lee@uhccux.uhcc.hawaii.edu