Knowlege managment in integrated IT management systems with the use of cognitive agents Cover Image

Zarządzanie wiedzą w zintegrowanych systemach informatycznych zarządzania z wykorzystaniem agentów kognitywnych
Knowlege managment in integrated IT management systems with the use of cognitive agents

Author(s): Marcin Hernes, Anna Chojnacka-Komorowska, Kamal Matouk, Andrzej Bytniewski
Subject(s): Essay|Book Review |Scientific Life
Published by: Szkoła Główna Handlowa w Warszawie, Fundacja Promocji i Akredytacji Kierunków Ekonomicznych
Keywords: knowledge management; integrated management information systems; cognitive agent; CIMIS; LIDA cognitive agent architecture; perceptual memory implementation

Summary/Abstract: The article presents the issues related to knowledge management by using the integrated management information systems. The aim of the article is to develop the manner of cognitive agent's perceptual memory implementation. The agents run in the prototype of integrated management information system, named CIMIS, which is used in knowledge management process in business organizations. CIMIS is based on the LIDA cognitive agent architecture. The paper draws attention to the business processes integration with the use of the information systems. Using such research methods as literature study, case study and computer simulation, the authors present how to use a topic map standard for perceptual memory implementation. This is very important module of agent's architecture responsible for proper recognition of an object, categories, activities and events occurring both in external and internal agent's environment. The solution presented in this paper allows for automatic interpretation, by an agent, of the phenomena occurring in the enterprise's environment. It has a positive impact on the process of knowledge management. Since the topic map is an international standard, it allows to achieve an interoperability of different information systems.

  • Issue Year: 56/2014
  • Issue No: 4
  • Page Range: 54-60
  • Page Count: 7