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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)
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)
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)