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 language | English (US) |
|---|---|
| Title of host publication | Representing and acquiring geographic knowledge. |
| Publisher | Pitman, London; Morgan Kaufmann, Los Altos, CA; Research Notes in Artificial Intelligence Series |
| ISBN (Print) | 027308769X, 0934613222, 9780273087694, 9780934613224 |
| State | Published - 1986 |
ASJC Scopus subject areas
- General Environmental Science
- General Earth and Planetary Sciences