CRISNER: A Practically Efficient Reasoner for Qualitative Preferences
July 30, 2015 Β· Declared Dead Β· π arXiv.org
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Authors
Ganesh Ram Santhanam, Samik Basu, Vasant Honavar
arXiv ID
1507.08559
Category
cs.AI: Artificial Intelligence
Citations
5
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We present CRISNER (Conditional & Relative Importance Statement Network PrEference Reasoner), a tool that provides practically efficient as well as exact reasoning about qualitative preferences in popular ceteris paribus preference languages such as CP-nets, TCP-nets, CP-theories, etc. The tool uses a model checking engine to translate preference specifications and queries into appropriate Kripke models and verifiable properties over them respectively. The distinguishing features of the tool are: (1) exact and provably correct query answering for testing dominance, consistency with respect to a preference specification, and testing equivalence and subsumption of two sets of preferences; (2) automatic generation of proofs evidencing the correctness of answer produced by CRISNER to any of the above queries; (3) XML inputs and outputs that make it portable and pluggable into other applications. We also describe the extensible architecture of CRISNER, which can be extended to new reference formalisms based on ceteris paribus semantics that may be developed in the future.
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