• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

›› 2012, Vol. 30 ›› Issue (10): 1454-1461.

• 科学学理论与方法 • 上一篇    下一篇

知识生活型规律模型

刘福林1,李淑萍2,宋唯一2,康洁3,刘丹4   

  1. 1. 商丘师范学院
    2. 商丘师范学院生命科学系
    3. 商丘师范学院生命科学学院
    4. 商丘幼儿师范学校
  • 收稿日期:2012-03-27 修回日期:2012-08-16 出版日期:2012-10-15 发布日期:2012-10-26
  • 通讯作者: 刘福林

The Model for the Rules of Knowledge Life Forms

  • Received:2012-03-27 Revised:2012-08-16 Online:2012-10-15 Published:2012-10-26

摘要: 为了揭示知识在知识群落内的生存类型规律;依据知识DNA 跨域映射思想,采用仿生学演绎与实证研究两种方法,以生物生活型规律为原型,跨域映射提出了知识生活型规律模型,包括思维影响力,知识生活型及其概念、类型、规律与模型,又经实际案例验证,该规律模型揭示了知识在知识群落内的生存类型规律;然后,提出了在知识群落、知识挖掘、知识可视化、知识转化等方面的应用前景,并提出了隐性知识可视化的崭新课题。该结果是基于仿生学发现的重要基础理论与启发性新观点,适用于知识创新与知识管理相关研究领域,具有突出的科学意义与应用价值。

关键词: 知识群落, 知识生活型, 思维影响力, 仿生学演绎, 实证研究, 知识创新, Knowledge Community, Knowledge Life Form, Influences of Thoughts, Bionic Deduction, Corroborative Research, Knowledge Innovation

Abstract: In order to reveal the rules for knowledge’s existence forms within knowledge communities, this research proposed the models of knowledge life forms through cross-domain mapping applying the rules of biological life forms as prototypes, based on the thoughts of knowledge DNA’s cross-domain mapping and through the adoption of such research methods as bionic deduction and corroborative research. Such models included influences of thoughts, and the concept, types, rules and models of knowledge life forms. After testifying real cases, the models of such rules revealed the rules for knowledge’s existence forms within knowledge communities and proposed the prospects of such rules applications into such aspects as knowledge innovation and knowledge management. Then, such models proposed the prospects of such rules applications into such aspects as knowledge community, knowledge mining, knowledge visualization and knowledge transformation, and also suggested a brand-new research topic of reclusive knowledge visualization. Such results represent important basic theories based on bionics findings, and can be applied into such relevant research domains as knowledge innovation and knowledge management, thus bearing prominent scientific significances and application values.

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