Structural Decomposition of Reactions of Graph-Like Objects

Computer Science – Logic in Computer Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

In Proceedings SOS 2010, arXiv:1008.1906

Scientific paper

10.4204/EPTCS.32.3

Inspired by decomposition problems in rule-based formalisms in Computational Systems Biology and recent work on compositionality in graph transformation, this paper proposes to use arbitrary colimits to "deconstruct" models of reactions in which states are represented as objects of adhesive categories. The fundamental problem is the decomposition of complex reactions of large states into simpler reactions of smaller states. The paper defines the local decomposition problem for transformations. To solve this problem means to "reconstruct" a given transformation as the colimit of "smaller" ones where the shape of the colimit and the decomposition of the source object of the transformation are fixed in advance. The first result is the soundness of colimit decomposition for arbitrary double pushout transformations in any category, which roughly means that several "local" transformations can be combined into a single "global" one. Moreover, a solution for a certain class of local decomposition problems is given, which generalizes and clarifies recent work on compositionality in graph transformation.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Structural Decomposition of Reactions of Graph-Like Objects does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Structural Decomposition of Reactions of Graph-Like Objects, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Structural Decomposition of Reactions of Graph-Like Objects will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-587196

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.