| Organizational learning (OL) is one of the most important capabilities for the survival of an organization. Organizations need to have the dynamic capabilities to create, capture, harvest, share, replenish and apply their knowledge. Knowledge comes from experience and resides in the narratives, so the acquisition of knowledge must be interwoven with the process of applying it. However, it is difficult to acquire knowledge from narratives and difficult to share it efficiently and effectively. Traditional methods are ineffective in fulfilling the requirements of the knowledge processes and in supporting the factors that facilitate OL.;In the present study, a Computational Narrative Simulation (CNS) approach is presented and a Computational Narrative Simulation System (CNSS) has been designed and built to overcome the limitations in the existing methods. By incorporating the technologies of knowledge-based systems and artificial intelligence, four computational intelligent algorithms have been developed for supporting the automation of the narrative simulation. These algorithms are: Fuzzy-Associated Concept Mapping, Narrative Prediction and Construction, Hybrid Case-based Reasoning, and Self-Associated Concept Mapping.;To evaluate the performance of these algorithms, a series of quantitative experiments has been carried out. The value and capability of these algorithms are realized by using various public databases and industrial data. The results are also benchmarked with well known algorithms. The performance of the CNSS is evaluated as a whole in real-life implementation. A prototype system has been built and trial implemented for case management in a social service organization.;On the whole, the CNS methodology addresses the deficiencies and limitations of traditional approaches. With the successful development of the CNS methodology and hence the CNSS, an organization is able to manage narrative knowledge in a systemic manner. The CNSS provides an important means for automatic integration of narratives with simulation so that the time for construction of a narrative simulation can be dramatically reduced, and the learners can test their actions and consequences of such actions during the simulation. The four purpose built algorithms does not only contribute to the advancement of the computational intelligent technologies, it also provides an important means for supporting the building the CNSS. |
