Casimir: An Architecture for Mental Spatial Knowledge Processing
Version of Record online: 10 JUN 2011
Copyright © 2011 Cognitive Science Society, Inc.
Topics in Cognitive Science
Volume 3, Issue 4, pages 778–795, October 2011
How to Cite
Schultheis, H. and Barkowsky, T. (2011), Casimir: An Architecture for Mental Spatial Knowledge Processing. Topics in Cognitive Science, 3: 778–795. doi: 10.1111/j.1756-8765.2011.01151.x
- Issue online: 11 OCT 2011
- Version of Record online: 10 JUN 2011
- Received 4 December 2009; received in revised form 8 October 2010; accepted 12 January 2011
- Cognitive architectures;
- Mental imagery;
- Spatial mental models;
- Computational modeling;
- Spatial reasoning;
Mental spatial knowledge processing often uses spatio-analogical or quasipictorial representation structures such as spatial mental models or mental images. The cognitive architecture Casimir is designed to provide a framework for computationally modeling human spatial knowledge processing relying on these kinds of representation formats. In this article, we present an overview of Casimir and its components. We briefly describe the long-term memory component and the interaction with external diagrammatic representations. Particular emphasis is placed on Casimir’s working memory and control mechanisms. Regarding working memory, we describe the conceptual foundations and the processing mechanisms employed in mental spatial reasoning. With respect to control, we explain how it is realized as a distributed, emergent facility within Casimir.