000162582 001__ 162582
000162582 005__ 20181224154214.0
000162582 022__ $$a1881-6894
000162582 0247_ $$a10.1016/j.jocs.2011.01.007$$2doi
000162582 037__ $$aARTICLE
000162582 245__ $$aBeyond Graphs: A New Synthesis
000162582 269__ $$a2011
000162582 260__ $$c2011
000162582 336__ $$aJournal Articles
000162582 520__ $$aArtificial neural networks, electronic circuits, and gene networks are some examples of systems that can be modeled as networks, that is, as collections of interconnected nodes. In this paper we introduce the concept of terminal graph (t-graph for short), which improves on the concept of graph as a unifying principle for the representation and computational synthesis and inference of technological and biological networks. We begin by showing how to use the t-graph concept to better understand the working of existing methods for the computational synthesis of networks. Then, we discuss the issue of the “missing methods”, that is, of new computational methods of network synthesis whose existence can be inferred using the perspective provided by the con- cept of t-graph. Finally, we comment on the application of the t-graph perspective to problems of network inference, to the field of complex networks, social networks, and to the understanding of biological networks and developmental processes.
000162582 6531_ $$aGraph
000162582 6531_ $$aTerminal Graph
000162582 6531_ $$aT-graph
000162582 6531_ $$aNetwork Representation
000162582 6531_ $$aNetwork Synthesis
000162582 6531_ $$aNetwork Inference
000162582 6531_ $$aComplex Networks
000162582 6531_ $$aGene Networks
000162582 6531_ $$aNeural Networks
000162582 6531_ $$aEvolutionary Robotics
000162582 700__ $$0241582$$g140974$$aMattiussi, Claudio
000162582 700__ $$0243223$$g167254$$aDürr, Peter
000162582 700__ $$aMarbach, Daniel
000162582 700__ $$aFloreano, Dario$$g111729$$0240742
000162582 773__ $$j2$$tJournal of Computational Science$$k2$$q165-177
000162582 909C0 $$xU10370$$0252161$$pLIS
000162582 909CO $$pSTI$$particle$$ooai:infoscience.tind.io:162582
000162582 917Z8 $$x167254
000162582 917Z8 $$x167254
000162582 917Z8 $$x111729
000162582 917Z8 $$x111729
000162582 917Z8 $$x255330
000162582 937__ $$aEPFL-ARTICLE-162582
000162582 937__ $$aEPFL-ARTICLE-162582
000162582 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000162582 980__ $$aARTICLE