A Study on the Arbitrator Framework of Competing and Evolving for Learning Design Ideas based on Diversified Role Interplay

碩士 === 國立雲林科技大學 === 設計運算研究所碩士班 === 93 === In the early phase of architecture design and the process stage, the mind of designers is treated as a black box. Designers are constructed from their mental metaphors and the outcomes do not follow their conducts, performances and pedagogy closely, especial...

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Bibliographic Details
Main Authors: Kun-Tai Kao, 高崑泰
Other Authors: Teng-Wen Chang
Format: Others
Language:en_US
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/90568826442903434911
Description
Summary:碩士 === 國立雲林科技大學 === 設計運算研究所碩士班 === 93 === In the early phase of architecture design and the process stage, the mind of designers is treated as a black box. Designers are constructed from their mental metaphors and the outcomes do not follow their conducts, performances and pedagogy closely, especially during concept developing stage. In reality, these situations do happen in the design studio, and on scene construction, and design class education that are like the reaction sequences or events occurred under different design concepts. Design domain can be widened with the design metaphor-imaginative reality process is manifested. Dynamic Role Interplay is simplified as multi-roles play process which based on the Dynamic Idea Map. The design issues that are either concepts competing with others for a particular objective or the design concepts can be evolved because of superiority ideas. Two types of learning can be applied to realize them: competing learning and evolving learning. They abstract the different roles in sequence generations of design, and then the knowledge within. According to these concepts and computational supports, a Competing and Evolving Learning Arena (CELA) system with a simulation on distributed agent-based role-interplay environment is established. A special framework called arbitrator to make the arbitrations clarified, in the aspect of competing learning and evolving learning. The arbitrator also manipulates the whole simulation. Each process behaves within the metaphors of specific approaches, mechanisms and computation framework.