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Titlebook: Spatial Cognition V; Reasoning, Action, I Thomas Barkowsky,Markus Knauff,Daniel R. Montello Conference proceedings 2007 Springer-Verlag Ber

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Dialog-Based 3D-Image Recognition Using a Domain Ontologystem. A robot that is supposed to navigate autonomously through space must be able to perceive its environment as automatically as possible. But each recognition system has its own inherent limits. Especially a robot whose task is to navigate through unknown terrain has to deal with unidentified or
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The Spatial Representation of Dynamic Scenes – An Integrative Approach viewpoint invariant. Beginning with the delimitation of static and dynamic scene recognition, the viewpoint dependency of visual recognition performance and the structure of the underlying mental representation are discussed. In the following, two parameters (an easy to identify . and salient .) ar
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Modeling Geospatial Events and Impacts Through Qualitative Changelts in a discernable change such as a reduced vegetation height. This framework provides a qualitative classification of impacts in order to reason about events and their impacts. The underlying conceptual model distinguishes between . and . impacts. Based on this distinction, a set of basic types o
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The Spatial and the Visual in Mental Spatial Reasoning: An Ill-Posed Distinctiony. Similarly, artificial intelligence (AI) and cognitive science research, in building computational cognitive systems, tended to use strictly spatial or strictly visual representations. The resulting systems, however, were suboptimal both with respect to computational efficiency and cognitive plau
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Grounded Perceptual Schemas: Developmental Acquisition of Spatial Conceptsin terms of perceptually grounded “image schemas”. Here, we present a developmental approach for the acquisition of grounded spatial schemas in a perceptual agent. We assume a capability for dynamic visual attention, and perceptual notions of wholeness and proximity. We first learn perceptual-object
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Modeling Human Spatial Memory Within a Symbolic Architecture of Cognitiontric reference systems and noisy representations of locations have been integrated into the ACT-R architecture of cognition. The intrinsic reference axis of the local reference systems automatically result from the sequence of attended locations. The first part of the paper describes experiments we
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Updating in Models of Spatial Memoryelf-to-object spatial relations and an environmental subsystem that forms enduring representations of environments using intrinsic reference systems. Updating occurs in both subsystems, but only the egocentric subsystem readily provides object locations relative to any adopted orientation. In the ab
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