Ulrich Junker

Preferences are gaining more and more attention in AI and CP. As described in the arti-cle of Jon Doyle and Richmond Thomason about qualitative decision theory (AI Mag-azine, 1999), AI provides qualitative methods for treating preferences that can improve or complement numerical methods for treating preferences from classical decision the-ory. Preferences prove essential in treating conflicting information in nonmonotonic reasoning, reasoning about action and time, planning, diagnosis, configuration, and other areas of knowledge representation and reasoning. Constraint programming uses preferences to treat soft constraints and to reduce search effort.

This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.