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By Algirdas Avižienis (auth.), Yi Pan, Franz J. Rammig, Hartmut Schmeck, Mauricio Solar (eds.)

International Federation for info Processing

The IFIP sequence publishes cutting-edge leads to the sciences and applied sciences of knowledge and communique. The scope of the sequence contains: foundations of computing device technological know-how; software program concept and perform; schooling; computing device purposes in expertise; conversation structures; structures modeling and optimization; info structures; desktops and society; computers expertise; defense and safeguard in details processing platforms; synthetic intelligence; and human-computer interplay. lawsuits and post-proceedings of referred foreign meetings in computing device technology and interdisciplinary fields are featured. those effects frequently precede magazine book and signify the most up-tp-date examine. The central objective of the IFIP sequence is to inspire schooling and the dissemination and trade of data approximately all features of computing.

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Extra info for Biologically Inspired Cooperative Computing: IFIP 19th World Computer Congress, TC 10: 1st IFIP International Conference on Biologically Inspired Computing, August 21–24, 2006, Santiago, Chile

Example text

G. Beni, "The Concept of Cellular Robotics," In Proc. 1988 IEEE International Symposium on Intelligent Control, pp 57-62, IEEE Computer Society Press. 30. E. Bonabeau, M. Dorigo and G. Theraulax, "Inspiration for Optimization from Social Insect Behaviour," Nature 406:39-42, 6 July 2000. Biologically-Inspired Design: Getting It Wrong and Getting It Right Steve R. White IBM Thomas J. O. com Abstract. Large, complex computing systems have many similarities to biological systems, at least at a high level.

We refer to mathematical algorithms, or techniques borrowed from physics, that help us design better computing systems. What, then, is the role of biological inspiration? In the remainder of this paper, we turn our attention to three problems in computing systems in which people have used biology as an inspiration to understand and construct computing systems. The first is the epidemiology of computer viruses, in which biological models are used to predict the speed and scope of global virus spread.

We want to figure out into which application environment we should put our new server, and how best it can be used within that environment. In the developing blastocyst, it does not matter where a new cell is placed. It develops according to what it senses of its local environment. Suppose we held slavishly to biology and did the same thing with our new server. There is no sense of "local environment" in our collection of application environments. Logically, they are all peers. So we let the server choose the first application environment that it finds in a directory of such things.

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