The development of new, innovative products is a knowledge-intensive and highly dynamic process. Several methods for formal, computational design synthesis have been successfully developed in the last few decades. Graph grammars are capable of defining the evolution – or synthesis – of products, effectively utilizing engineering knowledge to synthesize design solutions. Furthermore they are well supported computationally.
Graph grammars provide not only the foundation for synthesizing graph-based models but also for modeling structural change. Because of their intuitive nature and they are very efficient computationally, they represent an approach that goes beyond the limitations of DSM-based methods for modeling dynamic changes in structures.
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The development of new, innovative products is a knowledge-intensive and highly dynamic process. Several methods for formal, computational design synthesis have been successfully developed in the last few decades. Graph grammars are capable of defining the evolution – or synthesis – of products, effectively utilizing engineering knowledge to synthesize design solutions. Furthermore they are well supported computationally.
Graph grammars provide not only the foundation for synthesizing graph-base...
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