in deriving fuzzy control rules. Generic evolutionary al-gorithm, however, evaluate and select chromosomes which may include inferior genes, and generate solutions with uncertainty. To ameliorate this problem, we propose a recombinant rule selection method for gene level selection, which grades genes

either explicitly, by classification of prespecified windows, or implicitly by classification of subsets of spatial features collected from the image as a whole. The third strategy is a hybrid of the first two, employing dissection together with recombination rules to define potential segments, but using

This article presents a six-rule algorithm for the reconstruction of multiple minimum-recombinant haplotype configurations in pedigrees. The algorithm has three major features: First, it allows exhaustive search of all possible haplotype configurations under the criterion that there are minimum

players, and whether this information may be used to direct an automated search for new games of high quality. Combinatorial games provide an excellent test bed for this purpose as they are typically deep yet described by simple welldefined rule sets. To test these ideas, a game description language

with the technological distance between the originating ideas. Third, profits are maximized when ideas are combined that are technologically close. Fourth, the technology set is constrained by a social possibility set of socially acceptable ideas. Fifth, the boundaries implied by the ruling technological paradigm limit

At present, there is no doubt that RNA recombination is one of the major factors responsible for the generation of new RNA viruses and retroviruses. Numerous experimental systems have been created to investigate this complex phenomenon. Consequently, specific RNA structural motifs mediating

violently the dominant rules on restive subjects. However, symbolic violence has always been a fundamental dimension of power, and it increases in importance over time, as societies make progress in establishing institutional limits to the arbitrary exercise of physical violence. By symbolic violence I mean

information-processing capacity are encoded genetically, and these properties are subjected to selective pressure based on their success in producing adaptive behavior in diverse environments. As a result of selection and genetic recombination, various successful learning mechanisms evolve, including the well

Abstract. The first step of the Adleman-Lipton extract model in DNA computing is the combinatorial generation of libraries. In this paper a new method is proposed for generating a initial pool, it is a quaternary recombination of strings via application of null context splicing rules. Its

systems where rules are marked at the leading or trailing end. Both the results come from new insights about the relationships between the properties of (non extended) splicing systems, and finite state automata. 1 Introduction Splicing systems are language generating mechanisms based on the splicing