Artificial life IX : proceedings of the Ninth International by edited by Jordan Pollack ... [et al.].

By edited by Jordan Pollack ... [et al.].

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Additional info for Artificial life IX : proceedings of the Ninth International Conference on the Simulation and Synthesis of Artificial Life

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A "visual" example The first set of experiments aims to demonstrate the qualities of robustness and growing systems. To do so "dramatically", we chose a morphogenetic example where the reconstruction self-repahQ1d 23 process is visually interesting. , a rectangular shape, made up of three different kinds of cell, red, blue and white, themselves arranged in rectangles. As the growth process is not our main focus for this research, we chose to use a shape that has been shown to be evolvable in the past (Miller, 2003).

J g... I. i..... a..... u a..... a. au i a.. 03e where p = weighted fraction of the goal location covered c = number of blocks inside the model s = number of dispensers assumed e = number of excess blocks beyond those needed u i Figure 7: Evolved replication sequence for the L-morphology. Red: Swivel blocks; Blue: Effector blocks; Gray: New material. Note that the se'uence contains several redundant c cies. Of the three morphologies found by the evolutionary process in the first stage, only two were successful at the second stage, yielding a functional, physically-plausible self-replicating machine.

2801 of LNAI, pages 278-288, SpringerVerlag. , and Zell, A. (2003). Evolving the ability of limited growth and for artificial embryos. In W. , ECAL '03 proceedings, vol. 2801 of LNAI, pages 289-298, Springer-Verlag. au Abstract We describe a multi-cellular shape replication mechanism im- plemented in a sensing and communication network, motivated by robust self-monitoring and self-repairing aerospace vehicles. In particular, we propose a self-referential representation (a "genome"), enabling self-inspection and selfrepair; an algorithm solving the problem for connected and disconnected shapes; and a robust algorithm recovering from possible errors in the "genome".

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