Representing and acquiring geographic knowledge.

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This book presents an original theory of how a robot could be programmed to learn a neighbourhood from seeing it, and how knowledge of a neighbourhood can be represented, used and improved. There is a uniform treatment of positional and shape information, and the varieties of partial information which can be handled separately. Major themes discussed are; spatial learning; representations of space; information retrieval, matching and merging. A review of artificial intelligence is given along with a working program for driving the robot, and sections also cover representational problems in artificial intelligence, computational geometry, and the psychology of cognitive maps.-after Author

Original languageEnglish (US)
Title of host publicationRepresenting and acquiring geographic knowledge.
PublisherPitman, London; Morgan Kaufmann, Los Altos, CA; Research Notes in Artificial Intelligence Series
ISBN (Print)027308769X, 0934613222, 9780273087694, 9780934613224
StatePublished - 1986

ASJC Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

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  • Cite this

    Davis, E. (1986). Representing and acquiring geographic knowledge. In Representing and acquiring geographic knowledge. Pitman, London; Morgan Kaufmann, Los Altos, CA; Research Notes in Artificial Intelligence Series.