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21#
發(fā)表于 2025-3-25 04:05:09 | 只看該作者
Graph Transformation with Focus on Incident Edgesode may be cloned together with either all its incident edges or with only its outgoing edges or with only its incoming edges or with none of its incident edges. We thus subsume previous works such as the sesqui-pushout, the heterogeneous pushout and the adaptive star grammars approaches. We first d
22#
發(fā)表于 2025-3-25 08:04:15 | 只看該作者
Rational Term Rewriting Revisited: Decidability and Confluencee number of different subterms. Motivated by computability theory, we show a number of decidability results related to the rewrite relation and prove an effective version of a confluence theorem for orthogonal systems.
23#
發(fā)表于 2025-3-25 12:12:15 | 只看該作者
A General Attribution Concept for Models in ,-Adhesive Transformation Systems kinds of models used in .-adhesive transformation systems, which are a special kind of graph transformation system based on .-adhesive categories. Especially a proper representation and definition of attributes and their values as well as a suitable handling of the data does not fit well with other
24#
發(fā)表于 2025-3-25 16:14:52 | 只看該作者
DPO Transformation with Open Mapsng the graph structure. However, there are situations where occurrences are bound by additional constraints. These can either be implicit, such as the gluing conditions of the DPO, or explicit such as negative application conditions..In this paper we study another type of implicit condition based on
25#
發(fā)表于 2025-3-25 20:10:31 | 只看該作者
-Adhesive Transformation Systemsral for computing with graphs, however, and are commonly used in graph transformation languages. In this paper, we generalise .-adhesive transformation systems to .-adhesive transformation systems, where . is a class of morphisms containing the vertical morphisms in double-pushouts. We show that the
26#
發(fā)表于 2025-3-26 02:13:24 | 只看該作者
Generalised Compositionality in Graph Transformationper generalises a previous result in two different ways. Firstly, rules do not have to form pullbacks with their interfaces; this enables graph passing between components, meaning that components may “l(fā)earn” and “forget” subgraphs through communication with other components. Secondly, composition is
27#
發(fā)表于 2025-3-26 05:52:35 | 只看該作者
28#
發(fā)表于 2025-3-26 12:17:20 | 只看該作者
Efficient Symbolic Implementation of Graph Automata with Applications to Invariant Checkingd for invariant checking in graph transformation systems. Since earlier related work on graph automata suffered from the explosion of the size of the automata and the need of approximations due to the non-determinism of the automata, we here employ symbolic .-based techniques and recent antichain al
29#
發(fā)表于 2025-3-26 13:51:04 | 只看該作者
30#
發(fā)表于 2025-3-26 17:13:55 | 只看該作者
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