Graph transformation or graph rewriting has been developed for nearly 50 years and has
become a mature and manifold formal technique. Basically, rewrite rules are used to …

The first part of the book presents the fundamentals in a precise, yet largely informal way.
Besides serving as prerequisite for describing the applications in the second part, it also …

Abstract Machine learning methods have been employed for materials prediction in various
ways. It has recently been proposed that a crystalline material is represented by a …

In this paper, we consider a large variety of solutions for the generation of Sierpinski
triangles, one of the case studies for the AGTIVE graph transformation tool contest [15]. A …

Today most origami crease patterns used in technical applications are selected from a
handful of well-known origami principles. Computational algorithms capable of generating …

Abstract Model transformations are key elements of model driven engineering. Current
challenges for transformation languages include improving usability (ie, succinct means to …

In this paper, we introduce the notion of fusion grammars as a novel device for the
generation of (hyper) graph languages. Fusion grammars are motivated by the observation …

The modeling, analysis and design of systems is generally based on many formalisms to
describe discrete and/or continuous behaviors, and to map these descriptions into a specific …

In this paper, we introduce splicing/fusion grammars as a device for generating hypergraph
languages. They generalize the formerly introduced notion of fusion grammars by adding …

In this paper, we propose to employ the framework of graph-transformational swarms for the
modeling of dynamic logistic networks with decentralized processing and control. The …