perm filename JAN8.74[DOC,TOB]1 blob
sn#081032 filedate 1974-01-07 generic text, type T, neo UTF8
00100 Topics for a talk
00200 Retinex,Horn,Marr
00300 AI,philo,models,direct perception
00400 Computer magazine article
00500 Posner
00600 examples of prowess
00700 general AI, problem of organism
00800
00900
01000
01100 Language is apparently based on models for perceptual processes, rather than the
01200 converse (Wharfian hypothesis).
01300
01400
01500 The organism has access only to its models of the environment, not to
01600 the objects out there. Language is thus referential only in that it
01700 refers to the models, not to the objects directly. It is clear though
01800 that we really think as though there were objects out there. When we
01900 refer to an electron, we are really referring to something which allows
02000 us to pull together a lot of experiments in our atomic theory. But that
02100 is equally true of an orange; when we say we see an orange, we mean that
02200 certain photons enter our eyes. We interpret this as certain reflectance
02300 (orange color). There might be some demon switching objects in front of
02400 us faster than we can see. In fact, we make great leaps of trust in
02500 assuming that the object is the same when we watch it, or turn our backs
02600 and then see it again. Or again, it might only be some great dream
02700 going on in our solitary heads. It turns out to be useful for survival
02800 to make these models and assume they correspond to something in the world
02900 out there. In a real sense, our assumptions about an orange are very
03000 like those about electrons, only much more vivid and immediate because
03100 we carry our experimental apparatus with us, and have other experiments
03200 like manipulation for consistency.
03300
03400 Basically models allow us to do thought experiments instead of just
03500 blundering randomly along. For example, if I am chasing a rabbit,
03600 I predict where he is going next. The rabbit has evolved to run
03700 erratically, but sometimes maintain their course long enough that our
03800 predictions are accurate. It is clear that our energy towards understanding
03900 and building models has great survival value.
04000
04100 To understand intelligence is to understand the models we make of the
04200 world around us.
04300 The models serve to allow us to do thought experiments, rehearsing
04400 as Freud and Perls say. Some models are tightly organized, such as
04500 physics, even the physics which we all know without schooling. There
04600 are quite a number of models, topology,logic,geometry, algebra, number theory and
04700 various forms of mathematics, chemistry, physics, economics, social
04800 structures, psychology, etc, etc.
04900 Some models are rather vague, like the scripts we acquire on how to act
05000 to get certain payoffs.
05100 The point is that to use and understand language, to exist in the world,
05200 to be intelligent is to have these models (representations).
05300
05400 We are in the field of understanding human intelligence and of understanding
05500 how machines can be intelligent. That means we want to understand human models
05600 and calculations and how machines can accomplish the same thing. Often this
05700 means that they must have equivalent models, although we are not bound to do
05800 things the same way. The similarity is really that of the similarity of the
05900 models of different people. The world out there is the same world, even if
06000 two people are different, and models of fairly obvious real world things
06100 have very similar outward behavior for different people. The most efficient
06200 form of calculation may be very different for a machine and a living being.
06300 For example, human flight was achieved by means very different from the
06400 flight of birds.
06500
06600 retina, retinal layers, lgn,cortical layers, gestalt organization
06700 camera, retinex, color, edge detectors, organization, description
06800
06900 revolutionary nature of semiconductor technology
07000
07100 understandings of line drawings
07200
07300 representation of shape
07400
07500 stereo and depth measurement techniques
07600
07700 technical applications
07800 assembly
07900 computerization of industry--rationalization