A Fuzzy Set Semantics for Qualitative Fluents in the Situation Calculus. Ferrein, A., Schiffer, S., & Lakemeyer, G. Volume 5314, Xiong, X., Liu, H., Huang, Y., & Xiong, Y., editors. A Fuzzy Set Semantics for Qualitative Fluents in the Situation Calculus, pages 498–509. Springer, Wuhan, China, October 15-17, 2008. Paper doi abstract bibtex 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 logic semantic for qualitative fluents is that the qualitative ranges may overlap, and a value can, at the same time, fall into several categories.
@inbook {Ferrein:Schiffer:Lakemeyer:2008:FuzzyLogicSemanticsSituationCalculus,
title = {A Fuzzy Set Semantics for Qualitative Fluents in the Situation Calculus},
booktitle = {International Conference on Intelligent Robotics and Applications (ICIRA)},
series = {Lecture Notes in Computer Science},
volume = {5314},
year = {2008},
month = {October 15-17},
pages = {498--509},
publisher = {Springer},
organization = {Springer},
type = {inproceedings},
address = {Wuhan, China},
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 logic semantic for qualitative fluents is that the qualitative ranges may overlap, and a value can, at the same time, fall into several categories.},
isbn = {978-3-540-88512-2},
doi = {10.1007/978-3-540-88513-9_54},
url_Paper = {https://kbsg.rwth-aachen.de/sites/kbsg/files/icira2008fuzzy.pdf},
author = {Ferrein, Alexander and Schiffer, Stefan and Lakemeyer, Gerhard},
editor = {Xaihua Xiong and Honghai Liu and Yongan Huang and Youlun Xiong}
}
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