Planning Routes through uncertain territory
Artificial Intelligence
Towards a computational theory of cognitive maps
Artificial Intelligence
Handbook of logic in artificial intelligence and logic programming (vol. 3)
Learning dynamics: system identification for perceptually challenged agents
Artificial Intelligence - Special volume on computational research on interaction and agency, part 1
Artificial Intelligence
The spatial semantic hierarchy
Artificial Intelligence
Smodels - An Implementation of the Stable Model and Well-Founded Semantics for Normal LP
LPNMR '97 Proceedings of the 4th International Conference on Logic Programming and Nonmonotonic Reasoning
A LOGICAL ACCOUNT OF CAUSAL AND TOPLOGICAL MAPS
A LOGICAL ACCOUNT OF CAUSAL AND TOPLOGICAL MAPS
Noise and the common sense informatic situation for a mobile robot
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Noise, non-determinism and spatial uncertainty
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Bootstrap learning for place recognition
Eighteenth national conference on Artificial intelligence
Applying perceptually driven cognitive mapping to virtual urban environments
Eighteenth national conference on Artificial intelligence
Towards a general theory of topological maps
Artificial Intelligence
Complexity of propositional nested circumscription and nested abnormality theories
ACM Transactions on Computational Logic (TOCL)
Applying perceptually driven cognitive mapping to virtual urban environments
IAAI'02 Proceedings of the 14th conference on Innovative applications of artificial intelligence - Volume 1
Map-based navigation in mobile robots
Cognitive Systems Research
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We consider the problem of how an agent creates a discrete spatial representation from its continuous interactions with the environment. Such representation will be the minimal one that explains the experiences of the agent in the environment. In this paper we take the Spatial Semantic Hierarchy as the agent's target spatial representation, and use a circumscriptive theory to specify the minimal models associated with this representation. We provide a logic program to calculate the models of the proposed theory. We also illustrate how the different levels of the representation assume different spatial properties about both the environment and the actions performed by the agent. These spatial properties play the role of "filters" the agent applies in order to distinguish the different environment states it has visited.