Application of Granular Reasoning for Epistemic Situation Calculus-Reference-Cited by-同舟云学术

Application of Granular Reasoning for Epistemic Situation Calculus

Published:2020-08-15 Issue:4 Volume:32 Page:768-777
ISSN:1347-7986
Container-title:Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
language:en
Short-container-title:J. SOFT

Author:

NAKAYAMA Yotaro¹,AKAMA Seiki²,MURAI Tetsuya³

Affiliation:

1. Technology Research & Innovation, Nihon Unisys, Ltd.

2. C-Republic, Inc.

3. Information Systems Engineering, Chitose Institute of Science and Technology

Publisher

Japan Society for Fuzzy Theory and Intelligent Informatics

Link

https://www.jstage.jst.go.jp/article/jsoft/32/4/32_768/_pdf

Reference25 articles.

1. [1] T. Murai, G. Resconi, M. Nakata, and Y. Sato: “Granular Reasoning Using Zooming In & Out Part 1. Propositional Reasoning (An Extended Abstract),” Int. Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing (RSFDGrC 2003), pp. 421-424, 2003.

2. [2] T. Murai, Y. Sato, G. Resconi, and M. Nakata: “Granular Reasoning Using Zooming In & Out Part 2. Aristotle’s Categorical Syllogism,” Electronic Notes in Theoretical Computer Science, Vol.82, No.4, pp. 186-197, 2003.

3. [3] T. Murai, M. Sanada, Y. Kudo, and M. Kudo: “A Note on Ziarko’s Variable Precision Rough Set Model and Nonmonotonic Reasoning,” Lecture Notes in Computer Science: Int. Conf. on Rough Sets and Current Trends in Computing (RSCTC 2004) , Vol.3066, pp. 103-108, 2004.

4. [4] B. F. Chellas: Modal Logic: An Introduction, Cambridge University Press, 1980.

5. [5] G. Lakemeyer and H. J. Levesque: “A semantic characterization of a useful fragment of the situation calculus with knowledge,” Artificial Intelligence,Vo.175, No.1, pp. 142-164, 2011.