Agent-Based Approach for Revitalization Strategy of Knowledge Ecosystem(Cross-disciplinary physics and related areas of science and technology)
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概要
- 論文の詳細を見る
We conceptualize knowledge as an intellectual infrastructure that helps to maximize efficiency from the viewpoint of ecosystems. The knowledge ecosystem includes people and organizations that participate in the production, distribution, and consumption of this knowledge and information, as well as interactions between participants. We built the agent-based computational model of the ecosystem and induced seven key revitalization conditions from the perspective of complexity science and ecosystem management. We analyzed the effects of these conditions on the knowledge ecosystem based by the simulation of the agent-based model. Our results suggest that the proper implementation of seven revitalization conditions, focusing on the recovery of the positive feedback loop in the knowledge ecosystem, is crucial for sustainable development.
- 社団法人日本物理学会の論文
- 2009-03-15
著者
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Kim Sun-bin
Public Policy Research Department Samsung Economic Research Institute
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YANG Jae-Suk
Department of Physics, Korea University
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CHAE Seungbyung
Center of Complex Systems, Samsung Economic Research Institute
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KWAK Wooseop
Department of Physics, Chosun University
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KIM In-mook
Department of Physics, Korea University
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Yang Jae-suk
Department Of Physics Korea University:public Policy Research Department Samsung Economic Research I
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Kwak Wooseop
Department Of Physics Chosun University
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Chae Seungbyung
Center Of Complex Systems Samsung Economic Research Institute
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Kim In-mook
Department Of Physics Changwon National University
関連論文
- Agent-Based Approach for Revitalization Strategy of Knowledge Ecosystem(Cross-disciplinary physics and related areas of science and technology)
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