Agent-Based Approach for Revitalization Strategy of Knowledge Ecosystem

Authored by Jae-Suk Yang, Seungbyung Chae, Wooseop Kwak, Sun-Bin Kim, In-mook Kim

Date Published: 2009-03

DOI: 10.1143/jpsj.78.034803

Sponsors: Samsung Economic Research Institute

Platforms: No platforms listed

Model Documentation: Other Narrative Mathematical description

Model Code URLs: Model code not found

Abstract

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.

Tags

Agent-based model Complex systems knowledge ecosystem