Advances in Artificial Life: 7th European Conference, ECAL - download pdf or read online

By Bryant Adams, Hod Lipson (auth.), Wolfgang Banzhaf, Jens Ziegler, Thomas Christaller, Peter Dittrich, Jan T. Kim (eds.)

This e-book constitutes the refereed lawsuits of the seventh ecu convention on synthetic lifestyles, ECAL 2003, held in Dortmund, Germany in September 2003.

The ninety six revised complete papers offered have been conscientiously reviewed and chosen from greater than one hundred forty submissions. The papers are equipped in topical sections on man made chemistries, self-organization, and self-replication; man made societies; mobile and neural structures; evolution and improvement; evolutionary and adaptive dynamics; languages and conversation; methodologies and purposes; and robotics and self sustaining agents.

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Extra info for Advances in Artificial Life: 7th European Conference, ECAL 2003, Dortmund, Germany, September 14-17, 2003. Proceedings

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2, [19]. Let us denote the number of vertices by n, and let m be the number of edges of the substrate graph of a chemical reaction network. In the context of analyzing large networks it has turned out that the following measures yield useful characteristics: The average node degree k = 2 m n. g. [20]. Let dx be the degree of a vertex x and let qx be the number of edges that connect neighbors of a vertex x. , Cx = 2qx /((dx (dx − 1))). The clustering coefficient C then measures the overall cliquishness of the graph [21].

Correspondingly the entries (x, r) in the experience database and the expectations (x, r ) formed for a location prior to its sampling are such vectors (cf. Fig. 1). The surprise value d, which constitutes the fitness criterion, is computed as the Shannon entropy [14] of the difference between the actual response r and response that was expected r . The expectation r for a location x = (x, y) is computed as distance-weighted average over the (up to) 25 measurements nearest to x available in the experience database.

We start the construction of RESAC, however, by defining the third component, the AC algorithm: The algorithm A driving the reactor M models a well-stirred reaction vessel (see Fig. 2). Thus arbitrary molecules can collide at any time. What seems to be an artificial simplification is, however, a concept of chemistry [14] if parameters like, for example, speed of stirring are chosen appropriately. Additionally, new start-clauses can feed the reactor—the so-called inflow—at a certain rate (inflow rate).

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