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| Content Provider | Springer Nature Link |
|---|---|
| Author | Comin, Carlo Posenato, Roberto Rizzi, Romeo |
| Copyright Year | 2016 |
| Abstract | Simple Temporal Networks (STNs) provide a powerful and general tool for representing conjunctions of maximum delay constraints over ordered pairs of temporal variables. In this paper we introduce Hyper Temporal Networks (HyTNs), a strict generalization of STNs, to overcome the limitation of considering only conjunctions of constraints but maintaining a practical efficiency in the consistency check of the instances. In a Hyper Temporal Network a single temporal hyperarc constraint may be defined as a set of two or more maximum delay constraints which is satisfied when at least one of these delay constraints is satisfied. HyTNs are meant as a light generalization of STNs offering an interesting compromise. On one side, there exist practical pseudo-polynomial time algorithms for checking consistency and computing feasible schedules for HyTNs. On the other side, HyTNs offer a more powerful model accommodating natural constraints that cannot be expressed by STNs like “Trigger off exactly δ min before (after) the occurrence of the first (last) event in a set.”, which are used to represent synchronization events in some process aware information systems/workflow models proposed in the literature. |
| Starting Page | 152 |
| Ending Page | 190 |
| Page Count | 39 |
| File Format | |
| ISSN | 13837133 |
| Journal | Constraints |
| Volume Number | 22 |
| Issue Number | 2 |
| e-ISSN | 15729354 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2016-03-23 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Simple temporal networks Temporal consistency Hypergraphs Pseudo-polynomial time algorithms Mean payoff games Disjunctive temporal problems Workflows Artificial Intelligence (incl. Robotics) Optimization Computing Methodologies Operation Research/Decision Theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Discrete Mathematics and Combinatorics Artificial Intelligence Computational Theory and Mathematics Software |
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