By Hidefumi Sawai (auth.), Hidefumi Sawai (eds.)
By incorporating biologically-inspired features into ICT, numerous different types of new-generation details and conversation platforms will be created. just a few instance of parts already taking advantage of such layout idea are community architectures, info processing, molecular conversation, and complicated community modeling for fixing genuine world-problems. This e-book presents the theoretical foundation for realizing those advancements and explains their sensible functions. Highlighted inserts seems all through to assist readers to appreciate the very most modern subject matters in those rising examine fields. The e-book ends with a extra philosophical dialogue on how new ICT ideas are available through taking a look at analogous structures in biology. This new state of mind can assist researchers and practitioners to use cutting edge principles in constructing next-generation technologies.
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Extra info for Biological Functions for Information and Communication Technologies: Theory and Inspiration
In contrast, preferences are expressed only by females and act as a mechanism by which males are assessed and selected. Preferences do not affect natural selection. Traits and preferences are represented in phenotypic space by À 1 2 Á n 1 2 n trait vector t ¼ xt ; xt ; . ; xt and preference vector p ¼ xp ; xp ; . ; xp in ndimension Euclidean space. Sexually reproducing organisms are diploid in nature, but here, given the emphasis on interactions due to preference rather than the mode of reproduction itself, the model assumes that the genotype of each individual is haploid for the sake of simplicity, and an individual will have three kinds of chromosomes: sex chromosome, preference chromosome, and a trait chromosome (Fig.
F(x) becomes maximum (optimum) only when all fk(x) become 1 at xk = ak (where ak are different uniform random values between 1 or 0) for all dimensions kðk ¼ 1; 2; . ; K Þ. 8 for each dimension, is 1–4, the probability that takes the optimum value 1 is (1/5)K. This type includes the type I and II as its special cases. 0 Xk Fig. 40 Complex deceptive problem (type III) higher and attains the status of the optimum solution. 8 and is trapped in a local optimum solution. 44 present the time series of amino value histograms for CGA and SGA, respectively.
The gene duplicated GA (GDGA) described in the main text, an information processing model modeling the gene replication process of the theory of gene duplication, implements various duplication processes while migrating them between local populations. 4 Information Processing Model Based on Sexual Selection  The theory of sexual selection seeks in part to explain the extensive differences between the phenotype and behavior of the two sexes in certain sexually reproducing organisms. Certain well-known examples include competition between males (generating antlers) and female preferences (generating peacock plumage) [20, 21].