Systems Thinking for Knowledge
Systems Thinking for Knowledge
复制标题
知识的系统思考
DOI：
10.1080/026040290500606
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Steven A. Cavaleri
中科院分区：
文献类型：
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作者：
Steven A. Cavaleri
参与系统思考的能力通常被认为是能够理解复杂系统的产物，因为一个人掌握了系统理论、方法的能力，并且能够熟练地推理。相对而言，在系统文献中很少关注从经验中学习和创造知识的过程，这是个体随着时间的推移参与系统思考本身的直接结果。事实上，系统思考提高绩效的潜在功效通常被视为仅取决于先验知识，而不是通过从经验中学习而产生的知识。这种新创造的知识通常来自于建模工作和系统形式的探究。本文提出了一个通过将系统建模与知识创造的实用方法相结合来创建新知识的模型。这种方法基于一个多世纪前由美国哲学家/科学家查尔斯·桑德斯·皮尔斯首先提出的实用主义概念的基础。该模型为系统实践者提供了一个框架，用于解决复杂问题的知识密集型系统思维（KIST）。
The capacity to engage in systems thinking is often viewed as being a product of being able to understand complex systems due to one's facility in mastering systems theories, methods, and being able to adeptly reason. Relatively little attention is paid in the systems literature to the processes of learning from experience and creating knowledge as a direct consequence of individuals engaging systems thinking itself over time. In fact, the potential efficacy of systems thinking to improve performance normally seen as only contingent on a priori knowledge, rather than knowledge created via learning from experience. Such newly create knowledge often results from engaging in modeling efforts and systemic forms of inquiry. This article proposes a model for creating new knowledge by coupling systems modeling with a pragmatic approach to knowledge-creation. This approach is based on a foundation of the pragmatic concepts first proposed by the American philosopher/scientist Charles Sanders Peirce over a century ago. This model offers systems practitioners a framework to engage in knowledge-intensive systems thinking (KIST) for addressing complex problematic issues.