The Mercator Representation of Spatial Knowledge
نویسنده
چکیده
The MERCATOR program constructs a cognitive map from a sequence of scene descriptions. A new representation of two-dimensional geography was developed for this program. Objects are represented by sets of polygons; their boundaries, by sets of directed edges. The relative positions of objects are determined by connecting edges. A truth-conditional semantics for this representation is presented, its strengths and weaknesses are evaluated, and it is compared to other AI representations of shape and position.
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تاریخ انتشار 1983