Abstract
We have presented a model of Qualitative Reasoning under uncertain information based upon a Symbolic Probability Theory. We have illustrated the fact that, in situations where the classical Probabilities are ill adapted, our model works simply and gives results that conform to the human intuition. We also gave evidence that the results remain coherent when the size of the graduation scales varies.
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© 1996 Springer-Verlag Berlin Heidelberg
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Pacholczyk, D., Hunault, G. (1996). Qualitative reasoning under uncertainty with symbolic probabilities. In: Görz, G., Hölldobler, S. (eds) KI-96: Advances in Artificial Intelligence. KI 1996. Lecture Notes in Computer Science, vol 1137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61708-6_71
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DOI: https://doi.org/10.1007/3-540-61708-6_71
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