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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Problem Solving via Fuzziness-Based Coding of Continuous Constraints Yielding Synergetic and Chaos-Dependent Origination Structures
verfasst von : Osamu Katai, Tadashi Horiuchi, Toshihiro Hiraoka
Erschienen in: Integration of Fuzzy Logic and Chaos Theory
Verlag: Springer Berlin Heidelberg
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Based on the comparison of artificial systems with natural systems to elucidate the differences of their characteristics, we will propose a framework of a double-layered architecture of a problem solving system for constraint satisfaction problems, where the upper layer has characteristics corresponding to the artificial systems and the lower layer has characteristics corresponding to the natural systems. These two layers are derived by “fuzzy coding” (coding by fuzziness) in order to “decompose” continuous constraints for problem reduction. Thereafter, two different approaches to problem solving by the layered system architecture are proposed. One way of problem solving is to make use of the synergetic and tacit of the known layered structure. The other way is to focus on the chaotic phenomena through the interaction between the two layers. Moreover, considerations are made on the cause and meaning of these chaos phenomena in order to suggest some directions to make good use of it.