Design space exploration with answer set programming
- The aim of our project design space exploration with answer set programming is to develop a general framework based on Answer Set Programming (ASP) that finds valid solutions to the system design problem and simultaneously performs Design Space Exploration (DSE) to find the most favorable alternatives. We leverage recent developments in ASP solving that allow for tight integration of background theories to create a holistic framework for effective DSE.
| Author details: | Christian HaubeltORCiD, Kai Neubauer, Torsten H. SchaubORCiDGND, Philipp WankoORCiD |
|---|---|
| DOI: | https://doi.org/10.1007/s13218-018-0530-3 |
| ISSN: | 0933-1875 |
| ISSN: | 1610-1987 |
| Title of parent work (English): | Künstliche Intelligenz |
| Publisher: | Springer |
| Place of publishing: | Heidelberg |
| Publication type: | Article |
| Language: | English |
| Date of first publication: | 2018/05/11 |
| Publication year: | 2018 |
| Release date: | 2021/10/27 |
| Volume: | 32 |
| Issue: | 2-3 |
| Number of pages: | 2 |
| First page: | 205 |
| Last Page: | 206 |
| Funding institution: | Deutsche ForschungsgemeinschaftGerman Research Foundation (DFG) [SCHA 550/11-1] |
| Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Informatik und Computational Science |
| DDC classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Peer review: | Referiert |
