动态知识资本化的经济学诠释 协作环境中的情报行动者

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摘要翻译：
当今世界从工业经济向知识经济的转变使组织的战略规划及其解决问题的方法发生了革命性的变化。今天的焦点是知识和服务生产，更多的是强调知识资本。许多组织正在投资于促进员工之间知识共享的工具，并促进和鼓励员工之间的合作，以建立组织的知识资本，最终目标是为组织创造持久的竞争优势。目前解决组织决策问题的主要方法之一是经济智能(EI)方法，它涉及各种行为者之间的相互作用，称为EI行为者。这些行为者协作以确保决策问题解决过程的总体成功。在协作过程中，参与者表达的知识可以被资本化，以便将来重用。在本文中，我们首先提出了一个在EI行为者之间进行知识启发的注释模型。由于建立知识资本的需要，我们还提出了一种动态的知识资本化方法来管理行为者产生的知识。最后，需要管理协作的EI行动者之间的互动和相互依赖，导致我们的第三个主张，即构成小组工作管理的意识机制。
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英文标题：
《Dynamic Knowledge Capitalization through Annotation among Economic
  Intelligence Actors in a Collaborative Environment》
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作者：
Olusoji Okunoye (LORIA), Bolanle Oladejo (LORIA), Victor Odumuyiwa
  (LORIA)
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最新提交年份：
2010
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
  The shift from industrial economy to knowledge economy in today's world has revolutionalized strategic planning in organizations as well as their problem solving approaches. The point of focus today is knowledge and service production with more emphasis been laid on knowledge capital. Many organizations are investing on tools that facilitate knowledge sharing among their employees and they are as well promoting and encouraging collaboration among their staff in order to build the organization's knowledge capital with the ultimate goal of creating a lasting competitive advantage for their organizations. One of the current leading approaches used for solving organization's decision problem is the Economic Intelligence (EI) approach which involves interactions among various actors called EI actors. These actors collaborate to ensure the overall success of the decision problem solving process. In the course of the collaboration, the actors express knowledge which could be capitalized for future reuse. In this paper, we propose in the first place, an annotation model for knowledge elicitation among EI actors. Because of the need to build a knowledge capital, we also propose a dynamic knowledge capitalisation approach for managing knowledge produced by the actors. Finally, the need to manage the interactions and the interdependencies among collaborating EI actors, led to our third proposition which constitute an awareness mechanism for group work management.
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PDF链接：
https://arxiv.org/pdf/1012.3336

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关键词：经济学 资本化 Organization Intelligence Collaboratio organizations 协作 their problem solving