Path: utzoo!utgpu!news-server.csri.toronto.edu!rutgers!gatech!purdue!tippy!sawmill!mdbs!doug From: doug@mdbs.uucp (Doug Waterfield) Newsgroups: comp.ai Subject: Re: Cross-talk, memory limitations Message-ID: <1991Jan24.215249.6737@mdbs.uucp> Date: 24 Jan 91 21:52:49 GMT References: <9093@uwm.edu> <1991Jan23.050328.8357@mp.cs.niu.edu> Reply-To: doug@mdbs.UUCP (Doug Waterfield) Distribution: usa Organization: mdbs, Inc. Lines: 64 In article <8357@mp.cs.niu.edu> rickert@mp.cs.niu.edu (Neil Rickert) writes: >In article <9093@uwm.edu> markh@csd4.csd.uwm.edu (Mark William Hopkins) writes: >> >> What would happen if the brain began to run out of memory? I tried >>imagining that a while ago. Basically what I saw was this. >> > We would grow old and die. Why? > >> We use a sparse coding to represent concepts. If that coding becomes too >> . >> . > You are making many assumptions about how information is represented. I >doubt that there is any justification for them. > Why? >> It happened to me a couple times recently, though not necessarily >> . >> . >> . >>similar future events to happen. The word here is "precedent", but I kept >>coming up with "prerequisite". > > This type of behavior is often seen. It probably occurs even more often in >young people with presumably plenty of spare memory. It is completely >consistent with my (unpublished) model of the mind, but apparently >inconsistent with yours > And again, why? You refute Hopkins' arguments repeatedly, and the only proof you offer is a model which you *don't* explain! How are we to accept your statments without even an attempt at proof? >> What struck me the second time this happened was the similarity of the >>two words (precocious and precedent) which I had momentary difficulty >>recalling... > > That similarity fits well with my model. > How convenient--the similarity fits the model which you do not describe. >> What was interesting about both situations was that they happened long > > Actually you mis-analyzed the situation because you based your analysis on >an incorrect model. But instead of recognizing it as a failure of your >model you have added additional complexity such as assumptions about >memory overflow. > So, when may we be enlightened by your "correct" model? ============================================================================== Doug Waterfield | Of course, the opinions expressed above are mine doug@mdbs.UUCP | and not those of my employer. mdbs, Inc. | ------------------------------------------------------------------------------ "How many times do your hear it? It goes on all day long. Everyone knows everything, no one's ever wrong." -Rush, "Show Don't Tell" ==============================================================================