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Management of Worker's Experiences: A Knowledge-Based Approach

机译：工人经验的管理：一种基于知识的方法

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In this paper we present the key concepts of an experiences based management system that assists the transformation of individual experiences into usefull knowledge. Such a framework is designed around the notion of capturing and delivering experiences for improving worker's practices and tasks. The study has been done in the area of customer relationships. In this paper we present our approach to modelling and representing individual experiences, as well as our approach to dynamically generating collective experiences, on user request, in order to assist workers in making the best use of existing experiences. The research framework called L2Corp is described in term of its various knowledge components and its associated functional processes for assisting users in authoring the knowledge as well as assisting them in the producing value added knowledge. In this framework, collective knowledge is dynamically generated using broadcasting and self-organisation mechanisms, initally developed in multiagent systems. This approach is at the feasability stage, it is promising as it constitutes a first step towards the formalisation of the know-how using AI techniques. Such know-how is the missing element in existing experiences based management systems, and is what will allow to move from passive systems illustrating the know-how to more active systems which assist its production.
机译：在本文中，我们介绍了基于经验的管理系统的关键概念，该系统有助于将个人经验转化为有用的知识。这样的框架是围绕捕获和提供经验以改善工人的实践和任务的概念而设计的。该研究已在客户关系领域完成。在本文中，我们介绍了用于建模和表示个人体验的方法，以及根据用户请求动态生成集体体验的方法，以帮助员工充分利用现有体验。称为L2Corp的研究框架是根据其各种知识组件及其相关的功能过程来描述的，这些过程可帮助用户创作知识以及帮助他们生产增值知识。在这个框架中，集体知识是使用广播和自组织机制动态生成的，而广播和自组织机制最初是在多主体系统中开发的。这种方法处于可行性阶段，因为它是使用AI技术使专有技术正式化的第一步，因此很有希望。这种专有技术是现有基于经验的管理系统中缺少的要素，并且可以使它从说明专有技术的被动系统转向辅助其生产的更为主动的系统。

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