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A rank based description language for qualitative preferences

Conference Paper Accepted Paper Artificial Intelligence · Knowledge Representation · Logic in Computer Science

Abstract

In this paper we develop a language for representing complex qualitative preferences among problem solutions. We use ranked knowledge bases to represent prioritized goals. A basic preference description, that is a ranked knowledge base together with a preference strategy, defines a preference relation on models which represent problem solutions. Our language allows us to express nested combinations of preference descriptions using various connectives. This gives the user the possibility to represent her preferences in a natural, concise and flexible manner. 1

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Context

Venue
International Workshop on Non-Monotonic Reasoning
Archive span
1984-2025
Indexed papers
227
Paper id
885061292598898836
v2026.09.13