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Authors: Youzhi Zhang ; Xudong Luo and Yuping Shen

Affiliation: Sun Yat-sen University, China

Keyword(s): Knowledge Representation, Action, Reasoning, Fuzzy Logic.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Fuzzy Systems ; Knowledge Representation and Reasoning ; Soft Computing ; Symbolic Systems

Abstract: This paper proposes a fuzzy approach for reasoning about action and change in timed domains. In our method, actions and world states are modeled as fuzzy sets over time axis. Thus, their temporal relations and time constraints can be model as fuzzy rules. So, our method handles well the issue that action happens at an approximate time and then the states change also at an approximate time, which has not been solved well in existing work. Finally, our method is used to solve the classic problem of rail road crossing control in a fuzzy environment. The theoretic and simulation analysis shows that the controller using our method works well

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Paper citation in several formats:
Zhang, Y.; Luo, X. and Shen, Y. (2013). F T E: A Fuzzy Timed Action Language. In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8565-39-6; ISSN 2184-433X, SciTePress, pages 295-302. DOI: 10.5220/0004258402950302

@conference{icaart13,
author={Youzhi Zhang. and Xudong Luo. and Yuping Shen.},
title={F T E: A Fuzzy Timed Action Language},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2013},
pages={295-302},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004258402950302},
isbn={978-989-8565-39-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - F T E: A Fuzzy Timed Action Language
SN - 978-989-8565-39-6
IS - 2184-433X
AU - Zhang, Y.
AU - Luo, X.
AU - Shen, Y.
PY - 2013
SP - 295
EP - 302
DO - 10.5220/0004258402950302
PB - SciTePress