Abstract | ||
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Answer Set Programming (ASP) represents an elegant way of introducing non-monotonic reasoning into logic programming. ASP has gained popularity due to its applications to planning, default reasoning and other areas of AI. However, none of the approaches and current implementations for ASP are goal-directed. In this paper we present a technique based coinduction that can be employed to design SLD resolution-style, goal-directed methods for executing answer set programs. We also discuss advantages and applications of such goal-directed execution of answer set programs, and report results from our implementation. |
Year | DOI | Venue |
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2012 | 10.1145/2370776.2370782 | PPDP |
Keywords | Field | DocType |
answer set programming,coinduction | Programming language,Computer science,Popularity,Theoretical computer science,Implementation,Stable model semantics,Logic programming,Default reasoning,Answer set programming | Conference |
Citations | PageRank | References |
7 | 0.56 | 23 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kyle Marple | 1 | 27 | 3.44 |
Ajay Bansal | 2 | 320 | 27.21 |
Richard Min | 3 | 69 | 3.82 |
Gopal Gupta | 4 | 1404 | 143.46 |