Abstract
We investigate the combination of answer set programming and qualitative optimization techniques. Answer set optimization programs (ASO programs) have two parts. The generating program Pyen produces answer sets representing possible solutions. The preference program Ppref expresses user preferences. It induces a preference relation on the answer sets of Pyen based on the degree to which rules are satisfied. We discuss possible applications of ASO programming, give complexity results and propose implementation techniques. We also analyze the relationship between A SO programs and CP-networks.
Original language | English |
---|---|
Pages (from-to) | 867-872 |
Number of pages | 6 |
Journal | IJCAI International Joint Conference on Artificial Intelligence |
State | Published - 2003 |
Event | 18th International Joint Conference on Artificial Intelligence, IJCAI 2003 - Acapulco, Mexico Duration: Aug 9 2003 → Aug 15 2003 |
ASJC Scopus subject areas
- Artificial Intelligence