Interactive machine acquisition of a fuzzy spatial relation
Computers & Geosciences - Artificial intelligence applications in geoscience
Artificial intelligence: a modern approach
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Fuzzy Sets and Systems - Special issue on Uncertainty in geographic information systems and spatial data
Individual and multipersonal fuzzy spatial relations acquired using human-machine interaction
Fuzzy Sets and Systems - Special issue on Uncertainty in geographic information systems and spatial data
Fundamentals of the New Artificial Intelligence: Beyond Traditional Paradigms
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COSIT '97 Proceedings of the International Conference on Spatial Information Theory: A Theoretical Basis for GIS
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Proceedings of the 10th international conference on Intelligent user interfaces
GNet: A generalized network model and its applications in qualitative spatial reasoning
Information Sciences: an International Journal
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International Journal of Geographical Information Science
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W2GIS '08 Proceedings of the 8th International Symposium on Web and Wireless Geographical Information Systems
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COSIT'09 Proceedings of the 9th international conference on Spatial information theory
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Probability issues in locality descriptions based on Voronoi neighbor relationship
Journal of Visual Languages and Computing
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The development of cognitively plausible models of human spatial reasoning may ultimately result in computational systems that are better equipped to meet human needs. This paper explores how human subjects perceive the qualitative spatial relation nearness within an environmental space. Based on experimental data, a three-valued nearness relation is analysed in two stages. First, the results are analysed with special reference to the existence of subsets of candidate landmark places, from which nearness relations between other places may be partially inferred. Second, the desirable properties of such landmark sets are considered and some of their formal properties are presented. These properties are then considered in the light of the data furnished by the experiment. The paper concludes with a discussion of the significance of the analyses and the scope for further work in this area.