Characterizing search spaces

  • Authors:
  • Roy Rada

  • Affiliations:
  • Department of Computer Science, Wayne State University, Detroit, Michigan

  • Venue:
  • IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
  • Year:
  • 1983

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Abstract

A heuristic is good on a search space to the extent that it allows the prediction of which states are near to the goal. In this paper heuristics are investigated on several different search spaces. A measure is proposed for assessing the predictive accuracy of a given heuristic on a given search space. The measure sheds light on characteristics of the Traveling Salesman Problem that make it computationally more difficult to solve than the Minimum Spanning-Tree Problem.