Abstract
We introduce a flexible framework to specify problem solutions (outcomes) and preferences among them. The proposal combines ideas from answer-set programming (ASP), answer-set optimization (ASO) and CP-nets. The problem domain is structured into components. ASP techniques are used to specify values of components, as well as global (inter-component) constraints among these values. ASO methods are used to describe preferences among the values of a component and CP-net techniques to represent inter-component dependencies and corresponding preferences.
| Original language | English |
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| Pages | 596-601 |
| Number of pages | 6 |
| State | Published - 2005 |
| Event | 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05 - Pittsburgh, PA, United States Duration: Jul 9 2005 → Jul 13 2005 |
Conference
| Conference | 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05 |
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| Country/Territory | United States |
| City | Pittsburgh, PA |
| Period | 7/9/05 → 7/13/05 |
ASJC Scopus subject areas
- Software
- Artificial Intelligence