Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
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增强创新：机会发现和进化计算的融合，促进创意过程和决策
DOI：
10.1007/978-3-540-24855-2_143
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
M. Welge
中科院分区：
文献类型：
--
作者：
Xavier Llorà;K. Ohnishi;Ying;D. Goldberg;M. Welge
基于人的遗传算法是组织建模的有力工具。如果我们使用机会发现技术来增强它们，我们将获得计算机支持的协作工作的创新方法。此外，这种以用户为中心的方法以自然的方式融合了人类和计算机伙伴。本文提出了第一个测试，以及分析所获得的结果，真实的人类和计算机的合作，以人为基础的遗传算法和机会发现的融合。
Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for computer-supported collaborative work. Moreover, such a user-centered approach fuses human and computer partners in a natural way. This paper presents a first test, as well as analyzes the obtained results, of real human and computer collaboration powered by the fusion of human-based genetics algorithms and chance discovery.