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.
Weitere Kapitel dieses Buchs durch Wischen aufrufen
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
- Problem Solving via Fuzziness-Based Coding of Continuous Constraints Yielding Synergetic and Chaos-Dependent Origination Structures
- Springer Berlin Heidelberg
in-adhesives, MKVS, Zühlke/© Zühlke