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Model of Self-organizing Knowledge Representation and Organizational Knowledge Transformation

机译:自组织知识表示与组织知识转型模式

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The purpose of the paper is development of a conceptual model for the representation of knowledge as an active intellectual substance and, on this basis, study of metaphysics of knowledge transformation process being produced both individually and collectively in the practice of organizations. The first principle of knowledge engineering, as Edward Albert Feigenbaum noted, says that the power in solving problems that an intellectual subject (person or machine) manifests in the process of activity depends primarily on its knowledge base, and only secondly on the methods of inference used. Strength is hidden in knowledge. The process of producing knowledge is permanent and does not depend on whether an individual is going to use this knowledge or not. Knowledge constantly produces new knowledge regardless of the owner's desire. Besides that, knowledge can't arise from nothing, but always - from some knowledge obtained earlier. As well as the intelligence, knowledge is an emergent instance arising from the collective interaction of a lot of intellectual atomic elements of knowledge (knowledge quanta). Idiosyncrasy of this interaction is expressed precisely in the creation of new knowledge. Due to postulating the knowledge self-organizing, the hierarchical knowledge structures in memory and the process of thinking as a kind of syntax for the procedure of new knowledge generation are described. This is an effort towards understanding the memory mechanisms, the process of thinking, the sources of heuristic knowledge just through the inner nature of knowledge. Also, based on the knowledge self-organization principle, an archetype of the appropriate knowledge-based system architecture is presented too. As an implementation of the concept, the perceptual act model is described, and on its base, a possible scenario for the behavior of a robot meeting an obstacle in its path is considered. As the mutual transformation of tacit and explicit knowledge makes new knowledge, the impact of the self-organization of knowledge on the transformation process as well as conditions of self-organization of both individual knowledge and organizational knowledge are analyzed in detail. Finally, modification of the known model of knowledge dimensions by Nonaka and Takeuchi is proposed. Because of the native activity of knowledge, it is impossible to build a knowledge management system without considering the internal structure of knowledge and its emergent ability to self-organize. Ensuring the natural process of knowledge development at all ontological levels in an organization is an essential prerequisite for the evolution of values in this organization.
机译:本文的目的是发展知识的代表作为一种活跃的智力物质的概念模型,并在此基础上研究知识转型过程的形而上学,在组织的实践中单独和集体制作。作为Edward Albert Feigenbaum的知识工程的第一个原则表示,在活动过程中表现出智力主题(人或机器)表现的问题主要取决于其知识库,并且仅在推理方法中的第二种方法用过的。力量隐藏在知识中。制作知识的过程是永久性的,不依赖于个人是否会使用这些知识。无论主人的愿望如何,知识不断产生新知识。除此之外,知识不能从没有什么,但总是 - 从早些时候获得的一些知识。除了智慧之外,知识是一项新的知识智力原子要素(知识量子)的集体互动引发的紧急情况。这种互动的特质被表达在创造新知识方面。由于假设知识自组织,描述了内存中的分层知识结构以及作为新知识生成过程的一种语法的思维过程。这是一种努力了解记忆机制,思维过程,通过知识的内心本质即可思考的启发式知识来源。此外,根据知识自组织原则,也呈现了适当的基于知识的系统架构的原型。作为概念的实现,描述了感知行为模型,并且在其基础上,考虑了满足其路径中障碍物的机器人行为的可能场景。随着默契的互换和明确知识使新知识进行了新的知识,详细阐述了对转型过程的自我组织知识的影响以及个人知识和组织知识的自我组织条件。最后,提出了非赤曲和蛋白芯片的已知知识尺寸模型的修改。由于知识的本机活动,在不考虑知识的内部结构及其自我组织能力的情况下,无法建立知识管理系统是不可能建立知识管理系统。确保组织中所有本体学院知识发展的自然过程是本组织价值观演变的重要先决条件。

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