162582
20181224154214.0
1881-6894
10.1016/j.jocs.2011.01.007
doi
ARTICLE
Beyond Graphs: A New Synthesis
2011
2011
Journal Articles
Artiﬁcial neural networks, electronic circuits, and gene networks are some examples of systems that can be modeled as networks, that is, as collections of interconnected nodes. In this paper we introduce the concept of terminal graph (t-graph for short), which improves on the concept of graph as a unifying principle for the representation and computational synthesis and inference of technological and biological networks. We begin by showing how to use the t-graph concept to better understand the working of existing methods for the computational synthesis of networks. Then, we discuss the issue of the “missing methods”, that is, of new computational methods of network synthesis whose existence can be inferred using the perspective provided by the con- cept of t-graph. Finally, we comment on the application of the t-graph perspective to problems of network inference, to the ﬁeld of complex networks, social networks, and to the understanding of biological networks and developmental processes.
Graph
Terminal Graph
T-graph
Network Representation
Network Synthesis
Network Inference
Complex Networks
Gene Networks
Neural Networks
Evolutionary Robotics
Mattiussi, Claudio
140974
241582
Dürr, Peter
167254
243223
Marbach, Daniel
Floreano, Dario
111729
240742
165-177
2
Journal of Computational Science
2
LIS
252161
U10370
oai:infoscience.tind.io:162582
article
STI
167254
167254
111729
111729
255330
EPFL-ARTICLE-162582
EPFL-ARTICLE-162582
EPFL
PUBLISHED
REVIEWED
ARTICLE