Presentation 2003/5/22
Computing Preferred Answer Sets by means of Answer Set Programming
Toshiko WAKAKl, Katsumi INOUE, Chiaki SAKAMA, Katsumi NITTA,
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Abstract(in English) A framework of Prioritized logic programs (PLPs) is useful to represent explicit priorities between literals of logic programs. With its expressive power, PLPs theoretically enable us to realize various frameworks of nonmonotonic reasoning as well as preference abduction. However, so far, its implementation issues have scarcely been provided and even any sound procedure to compute preferred answer sets which give the semantics of PLPs, has not been proposed. In this paper, we present a procedure to compute all preferred answer sets of a PLP in answer set programming. We show soundness and completeness theorems for the procedure. Finally we show that our procedure makes PLPs not only practically available, but also have the capability of representing the dynamic preferences in addition to static ones.
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Keyword(in English) Prioritized Logic Programs / preferred answer sets / dynamic preferences
Paper # AI2003-5
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Committee AI
Conference Date 2003/5/22(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Computing Preferred Answer Sets by means of Answer Set Programming
Sub Title (in English)
Keyword(1) Prioritized Logic Programs
Keyword(2) preferred answer sets
Keyword(3) dynamic preferences
1st Author's Name Toshiko WAKAKl
1st Author's Affiliation Faculty of Systems Engineering, Shibaura Institute of Technology,()
2nd Author's Name Katsumi INOUE
2nd Author's Affiliation Department of Electrical and Electronics Engineering, Kobe University,
3rd Author's Name Chiaki SAKAMA
3rd Author's Affiliation Department of Electrical and Electronics Engineering, Kobe University,
4th Author's Name Katsumi NITTA
4th Author's Affiliation Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology,
Date 2003/5/22
Paper # AI2003-5
Volume (vol) vol.103
Number (no) 103
Page pp.pp.-
#Pages 6
Date of Issue