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NEUR- Beyond Graphs- A New Synthesis (Complex Networks, neural networks, electronic circuits, gene regulatory networks) - Mattiussi - JCS 2011.pdf

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NEUR- Beyond Graphs- A New Synthesis (Complex Networks, neural networks, electronic circuits, gene regulatory networks) - Mattiussi - JCS 2011.pdf

文档介绍

文档介绍:Journal putational Science 2 (2011) 165–177

Contents lists available at ScienceDirect

Journal putational Science

jo urnal homepage: ate/jocs

Beyond graphs: A new synthesis


Claudio Mattiussi , Peter Dürr, Daniel Marbach, Dario Floreano

Laboratory of Intelligent Systems, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland

a r t i c l e i n f o a b s t r a c t


Article history: Artificial works, electronic circuits, and works are some examples of systems that can

Received 28 July 2010

be modeled works, that is, as collections of interconnected nodes. In this paper we introduce the

Received in revised form 11 January 2011

concept of the terminal graph (t-graph for short), which improves on the concept of graph as a unifying

Accepted 25 January 2011

principle for the representation, computational synthesis, and inference of technological and biological
Available online 10 March 2011

networks. We begin by showing how to use the t-graph concept to better understand the working of

existing methods for putational synthesis works. Then, we discuss the issue of the “missing
Keywords:

methods”, that is, of putational methods work synthesis whose existence can be inferred
Graph

using the perspective provided by the concept of t-graph. Finally, ment on the application of the

Terminal graph (t-graph)

t-graph perspective to problems work inference, to the field works, works,
Network representation

Network synthesis and to the understanding of works and developmental processes.
Network inference © 2011 Elsevier . All rights reserved.
works
works
works

1. Introduction vides mon framework for the classification and assessment of

existing methods, and for the design of new methods for -

Many biological and technological systems of considerable rel- putational synthesis and inference works. Thus, in addition


evance can be modeled works, that is, as c