Abstract
The ability to model cognitive agents depends crucially on being able to encode and infer with contextual information at many levels (such as situational, psychological, social, organizational, political levels). We present initial results from a novel computational framework, Coordinated Probabilistic Relational Models (CPRM), that can potentially model the combined impact of multiple contextual information sources for analysis and prediction. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Narayanan, S., Sievers, K., & Maiorano, S. (2007). OCCAM: Ontology-based computational contextual analysis and modeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4635 LNAI, pp. 356–368). Springer Verlag. https://doi.org/10.1007/978-3-540-74255-5_27
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