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Pattern Recognition and Modern Computers* ma'u

AI Classics

By this we mean the extraction of E CONSIDER the process we call Pattern clearly one of the most primitive sources of patterns.


A Reprint from INFORMATION THEORY

AI Classics

Papers read at a Symposium on'Information Theory' held at the Royal Institution, London, September 12th to 16th 1955 Published by BUTTERWORTHS SCIENTIFIC PUBLICATIONS 88 KINGSWAY, LONDON, W.C.2 MANY psychologists studying learning have assumed that the subject--rat, dog, or graduate student--invariably knows what the stimulus is. They have not concerned themselves with how a dog knows that it is the bell ringing which is the stimulus to jump over a fence. A bell ringing never gives the same set of nervous impulses into the brain twice (of course the argument would still apply even if it did); why then should the dog classify all cases of bell ringing into one category--'stimulus'? There is then the further question of how this category is more or less quickly'associated' with a response: the point is that the stimulus is not a priori considered a significant entity by the subject. In designing programmes for computers to imitate conditioned reflexes, for instance, we have found that the real problem was to identify the stimulus.


INTELLIGENT SYSTEMS

AI Classics

At the time of the Dartmouth Well, when Digital built the PDP-1, you and we had studied philosophy. Not only conference, there were certain mathematical sat at the console and you wrote your program that, but we also knew McCulloch, who games called Post tag systems.




GTE Laboratories

AI Classics

The effects of the parameters 19 8.3 When the periods are the same 22 8.4 Using the RNG when the periods are the same 24 8.5 Trajectories with numerically related periods 24 9.0 Adaptive AP Strategies or AAP Strategies 26 10.0 Discussion and Generalizations 26 10.1 Another problem: the adapting of integer variables 27 10.2


TRACKING AND TILL: ADAPTATION IN MOVEMENT STRATEGIES

AI Classics

There is another and perhaps more profound Point. The nature of a trail is that it divides space into two sets, success (being on the trail) and failure (not being so). If you are in tne success set, you are near other points of success: that means success is correlateri.



A note on dimensions and factors

AI Classics

In this short note, we discuss several aspects of "dimensions" and the related construct of "factors". We concentrate on those aspects that are relevant to articles in this special issue, especially those dealing with the analysis of the wild animal cases discussed in Berman and Hafner's 1993 ICAIL article. We review the basic ideas about dimensions, as used in HYPO, and point out differences with factors, as used in subsequent systems like CATO. Our goal is to correct certain misconceptions that have arisen over the years.