Abstract
Specifying the behavior of an intelligent autonomous robot or agent is a non-trivial task. The question is: how can the knowledge of the domain expert be encoded in the agent program? Qualitative representations in general facilitate to express the knowledge of a domain expert. In this paper, we propose a semantics for qualitative fluents in the situation calculus. Our semantics is based on fuzzy sets. Membership functions define to which degree a qualitative fluent belongs to a particular category. Especially intriguing about a fuzzy set semantics for qualitative fluents is that the qualitative ranges may overlap, and a value can, at the same time, fall into several categories.
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Ferrein, A., Schiffer, S., Lakemeyer, G. (2008). A Fuzzy Set Semantics for Qualitative Fluents in the Situation Calculus. In: Xiong, C., Huang, Y., Xiong, Y., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2008. Lecture Notes in Computer Science(), vol 5314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88513-9_54
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DOI: https://doi.org/10.1007/978-3-540-88513-9_54
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