The cognitive computer: on language, learning, and artificial intelligence
The cognitive computer: on language, learning, and artificial intelligence
Voronoi diagrams—a survey of a fundamental geometric data structure
ACM Computing Surveys (CSUR)
Basic meanings of spatial relations: computation and evaluation in 3D space
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Toward the simulation of spatial mental images using the Voronoi¨ model
Representation and processing of spatial expressions
The spatial semantic hierarchy
Artificial Intelligence
Imprecise reasoning in geographic information systems
Fuzzy Sets and Systems - Special issue on Uncertainty in geographic information systems and spatial data
Foundations for a Formalism of Nearness
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
A Spatial Model Based on the Notions of Spatial Conceptual Map and of Object's Influence Areas
COSIT '99 Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science
From images to bodies: modelling and exploiting spatial occlusion and motion parallax
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Reasoning about categories in conceptual spaces
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Membership functions for spatial proximity
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
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In order to design computer systems that are intuitive to use, the way humans reason about their ''real world'' surroundings needs to be taken into consideration. Geographic Information Systems (GIS) focus on spatial reasoning. Over the last decades, many advances have been made in GIS interfaces and functionality; however the concept of proximity or nearness, which is essential in many forms of human reasoning, is still being addressed insufficiently. This paper provides a thorough and comprehensive synthesis of the disparate literature that pertains to the subject of proximity. It offers insights into why existing methods for reasoning with proximity work, or do not work, and analyses their strengths and weaknesses. Finally, the paper provides the derivation of new proximity measures, and their evaluation, backed by experiments and reflections. New measures are formally described in a unifying and compelling framework. This framework acknowledges that while distance is one factor that influences proximity perception, proximity is much more than just a distance measure.