Proceedings of the Fuzzy System Symposium
37th Fuzzy System Symposium
Session ID : MB2-3
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Design of Human-based Evolutionary Computation for Creating Pattern Languages
*Noritaka IkedaKei Onishi
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Abstract

Human-based evolutionary computation (human-based EC) in which humans implement evaluations and all evolutionary operators can be used for problem solving in human societies. In human-based EC, multiple solution candidates are asynchronously and in parallel produced and improved by many people on the Internet. People who join this problem solving do not have few temporal and spatial limitation. Meanwhile, a pattern language is a collection of arts represented by words for a particular human activity, and therefore, can be regarded a shareable solution to a problem in human societies. Pattern languages are synchronously and in series created and improved by many face-to-face people. People who join this problem solving have strong temporal and spatial limitation. In this paper, we design human-based EC for a production task of pattern language. Then, we discuss how the original limitation is relaxed due to the use of human-based EC and at the same time what new problems are caused by that.

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© 2021 Japan Society for Fuzzy Theory and Intelligent Informatics
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