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doi:10.1006/inco.1993.1054    
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Copyright © 1993 Academic Press. All rights reserved.

Regular Article

Searching in the Plane

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Baezayates R. A., Culberson J. C. and Rawlins G. J. E.

Univ Chile, Dept Comp Sci, Casilla 2777, Santiago, Chile; Univ Alberta, Dept Comp Sci, Edmonton T6G 2H1, AB, Canada and Indiana Univ, Dept Comp Sci, Bloomington, IN 47405, USA


Available online 30 April 2002.

Abstract

In this paper we initiate a new area of study dealing with the best way to search a possibly unbounded region for an object. The model for our search algorithms is that we must pay costs proportional to the distance of the next probe position relative to our current position. This model is meant to give a realistic cost measure for a robot moving in the plane. We also examine the effect of decreasing the amount of a priori information given to search problems. Problems of this type are very simple analogues of non-trivial problems on searching an unbounded region, processing digitized images, and robot navigation. We show that for some simple search problems, knowing the general direction of the goal is much more informative than knowing the distance to the goal.


 
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