Natural Computing and Beyond: Winter School Hakodate 2011, by Itsuki Kunita, Sho Sato, Tetsu Saigusa, Toshiyuki Nakagaki

By Itsuki Kunita, Sho Sato, Tetsu Saigusa, Toshiyuki Nakagaki (auth.), Yasuhiro Suzuki, Toshiyuki Nakagaki (eds.)

This ebook comprises the joint lawsuits of the wintry weather institution of Hakodate (WSH) 2011 held in Hakodate, Japan, March 15–16, 2011, and the sixth foreign Workshop on traditional Computing (6th IWNC) held in Tokyo, Japan, March 28–30, 2012, equipped via the certain curiosity crew of typical Computing (SIG-NAC), the japanese Society for man made Intelligence (JSAI). This quantity compiles refereed contributions to varied elements of common computing, starting from computing with slime mildew, man made chemistry, eco-physics, and artificial biology, to computational aesthetics.

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Extra info for Natural Computing and Beyond: Winter School Hakodate 2011, Hakodate, Japan, March 2011 and 6th International Workshop on Natural Computing, Tokyo, Japan, March 2012, Proceedings

Sample text

To experimentally delete the thinner connections, we sometimes put a large FS out side the experimental arena. For instance, in Fig. 6e, the black arrow indicates the location of the large FS. After addition of such a large FS, the thinner tubes disappeared, leaving only the thick tubes. In general, thinner tubes reacted more rapidly to perturbations in the environment, whilst the core skeleton tended to be well conserved and persistent. The mathematical modeling for the transport network in Hokkaido reproduces the real rail (core) and road infrastructure networks remarkably well.

Hagiya and I. Kawamata Fig. 4. A project page Towards Co-evolution of Information, Life and Artificial Life 45 Fig. 5. 2 Automatic Design by Artificial Intelligence By artificial intelligence, we mean automatic design of systems, in general. For example, in the systems biology field, it is common to predict genetic circuits from microarray data. For this purpose, evolutionary computations, such as genetic algorithms and particle swarm optimization, are commonly used. In addition to predictions, they can also be used for the design and synthesis of molecular and cellular systems.

The network connects all of the FSs, however, depending on the parameter Q0 , the final shape of network is different, most notably, the total length of network is longer with more parallel paths as Q0 increases. Nevertheless, the simulated network obtained by the model overlaps the real rail transportation network shown in Fig 7e-g, for relatively low values of Q0 . For comparison with the road network, which has a wide range of different categories of road from major highways to minor side roads, roads were assigned a priority based on their level in hierarchy, and added until total length of lines reached the total length in the simulation.

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