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Algorithms which construct classifiers from sample data-such as neural networks, radial basis functions, and decision trees-have attracted growing attention for their wide applicability. Pattern Recognition are continually introducing (or rediscovering) induction methods, and often publishing implementing code. It is natural for practitioners and potential(More)
In this paper we describe the results of a set of experiments in which we compared the learning performance of human and machine learning agents. The problem involved the learning of a concept description for deciding on the legality of positions within the chess endgame King and Rook against King. Various amounts of background knowledge were made available(More)
This paper describes experiments in applying in-ductive learning to the task of acquiring a complex motor skill by observing human subjects. A flight simulation program has been modified to log the actions of a human subject as he or she flies an aircraft. The log file is used to create the input to an induction program. The output from the induction(More)
BOXES is the name of a computer program. We shall also use the word boxes to refer to a particular approach to decision-taking under uncertainty which has been used as the basis of a number of computer programs. Fig. 1 shows a photograph of an assemblage of actual boxes—matchboxes to be exact. Although the construction of this Matchbox Educable Noughts and(More)
Figure 1, following the appendix, originated 20 years ago from Ryszard Michalski. As in scientiic discovery, it is required to conjecture some plausible Law, in this case governing what kinds of trains are Eastbound and what kinds Westbound. A few years later, Donald Michie published the trains problem in the British popular computer press. The post-bag(More)
The scale and diversity of networked sources of data and computer programs is rapidly swamping human abilities to digest and even locate relevant information. The high speed of computing has compounded this problem by the generation of even larger amounts of data, derived in ways that are generally opaque to human users. The result is an increasing gulf(More)