A flexible framework for defeasible logics
| dc.creator | Antoniou, G. | |
| dc.creator | Billigton, D. | |
| dc.creator | Governatori, G. | |
| dc.creator | Maher, M. J. | |
| dc.date | 2000-03-07 | |
| dc.date.accessioned | 2026-07-25T16:26:34Z | |
| dc.description | Logics for knowledge representation suffer from over-specialization: while each logic may provide an ideal representation formalism for some problems, it is less than optimal for others. A solution to this problem is to choose from several logics and, when necessary, combine the representations. In general, such an approach results in a very difficult problem of combination. However, if we can choose the logics from a uniform framework then the problem of combining them is greatly simplified. In this paper, we develop such a framework for defeasible logics. It supports all defeasible logics that satisfy a strong negation principle. We use logic meta-programs as the basis for the framework. | |
| dc.description | Proceedings of 8th International Workshop on Non-Monotonic Reasoning, April 9-11, 2000, Breckenridge, Colorado | |
| dc.identifier | https://arxiv.org/abs/cs/0003013 | |
| dc.identifier | http://arxiv.org/abs/cs/0003013 | |
| dc.identifier.uri | https://dspace.dare.co.zw/handle/123456789/41377 | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Logic in Computer Science | |
| dc.subject | I.2.3; D.1.6 | |
| dc.title | A flexible framework for defeasible logics | |
| dc.type | text |