Representing and acquiring geographic knowledge
Representing and acquiring geographic knowledge
Towards a computational theory of cognitive maps
Artificial Intelligence
Qualitative navigation for mobile robots
Artificial Intelligence
Memorizing and representing route scenes
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Cognitive maps for mobile robots: a representation for mapping and navigation
Cognitive maps for mobile robots: a representation for mapping and navigation
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
A Human Based Perception Model for Cooperative Intelligent Virtual Agents
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
The Utility of Global Representations in a Cognitive Map
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
Factoring the Mapping Problem: Mobile Robot Map-building in the Hybrid Spatial Semantic Hierarchy
International Journal of Robotics Research
Spatial information extraction for cognitive mapping with a mobile robot
COSIT'07 Proceedings of the 8th international conference on Spatial information theory
A conceptual model of the cognitive processing of environmental distance information
COSIT'09 Proceedings of the 9th international conference on Spatial information theory
Testing a theory of perceptual mapping using robots
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Autonomous construction of hierarchical voronoi-based route graph representations
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
Using 2d and 3d landmarks to solve the correspondence problem in cognitive robot mapping
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
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Yeap (1988) argued that an important basis for computing a cognitive map is the ability to compute and recognise local environments. Although he has demonstrated how such local environments could be used to construct a raw cognitive map, he failed to produce an adequate algorithm for computing them. In this paper, a detailed study of this problem is presented. We argue that although each local environment computed forms a natural basis for constructing a raw cognitive map, it is not computed primarily to do so. Instead, it is computed for one's immediate needs (such as hunting a prey or escaping from danger). This change in perspective argues for a very different cognitive mapping process, namely one that computes local environments as the individual moves through the environment but these representations are not necessarily used to construct a raw map. The individual does not do so until there is evidence that it is going to stay. Consequently this simplifies the algorithm for computing a local environment and a new algorithm is thus proposed. Some results of our implementation are shown.