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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xing Tan Gruninger, M. |
| Copyright Year | 2009 |
| Description | Author affiliation: Semantic Technologies Laboratory, Department of Mechanical and Industrial Engineering, University of Toronto, Canada (Xing Tan; Gruninger, M.) |
| Abstract | It is well known that reasoning with AI temporal projection problems is difficult. Determining the Possible Truth problem, a basic temporal projection decision problem, in the so-called Simple Event System remains NP-complete. In this paper, two types of constraints, on the graph-theoretic representation of the cause-and-effect relationships between events and on the partial orders of events, are further considered upon this boundary NP-complete Possible Truth problem, in an attempt to gain tractability. In particular, we show that the problem is still NP-complete even if the cause-and-effect graphs maintain a strongly restricted topology, whereas it is tractable if the graph is closely associated with the set of pairwise disjoint partial orders, which in addition is hierarchically structured. |
| Starting Page | 723 |
| Ending Page | 727 |
| File Size | 112198 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424447541 |
| DOI | 10.1109/ICICISYS.2009.5358396 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Semantic Web Manufacturing processes Uncertainty Laboratories Process control Knowledge representation Industrial engineering Polynomials Topology Artificial intelligence |
| Content Type | Text |
| Resource Type | Article |
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