Abstract
In qualitative spatial and temporal reasoning we can distinguish between comparing and naming magnitudes. In particular, naming qualitative models allow humans to express spatio-temporal concepts such as “That horse is really fast”. In colloquial terms, naming concepts are called relative. In this paper we present a general framework to solve the representation magnitude and a general algorithm to solve the basic step of inference process of qualitative models based on intervals. The general method is based on the definition of two algorithms: the qualitative sum and the qualitative difference.
Keywords
- Reasoning Process
- Constraint Satisfaction Problem
- Qualitative Representation
- Inference Process
- Qualitative Reasoning
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Martínez-Martín, E., Escrig, M.T., del Pobil, A.P. (2012). A General Framework for Naming Qualitative Models Based on Intervals. In: Omatu, S., De Paz Santana, J., González, S., Molina, J., Bernardos, A., Rodríguez, J. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28765-7_82
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DOI: https://doi.org/10.1007/978-3-642-28765-7_82
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