Speeding up problem solving by abstraction: a graph oriented approach
Artificial Intelligence - Special volume on empirical methods
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This paper brings together two strands of my research: an interest in abstraction in AI computing systems (see for example [1]) and an interest in the study of paintings as a key to understanding perception and cognition (see, for example, [2]). Our senses of the world are informed by the art we make and by the art we inherit and value, works that in them selves encode others' worldviews. This two-way effect is deeply rooted and art encodes and a.ects both a culture's ways of perceiving the world and its ways of remaking the world it perceives. The purpose of this paper is to indicate ways in which a study of abstraction in art can be used to discover insights into our perception of the world and how these insights may be employed, in turn, to develop computing systems that can take advantage of some of these forms of abstraction both in their own processing and in the way they present themselves to users.