首页    期刊浏览 2024年11月06日 星期三
登录注册

文章基本信息

  • 标题:Intelligent Multi-Agent Based Information Management Methods to Direct Complex Industrial Systems
  • 本地全文:下载
  • 作者:Danilo Avola ; Luigi Cinque ; Giuseppe Placidi
  • 期刊名称:Intelligent Information Management
  • 印刷版ISSN:2150-8194
  • 电子版ISSN:2150-8208
  • 出版年度:2012
  • 卷号:4
  • 期号:6
  • 页码:338-347
  • DOI:10.4236/iim.2012.46038
  • 出版社:Scientific Research Publishing
  • 摘要:In recent years, the increasingly complexity of the logistic and technical aspects of the novel manufacturing environments, as well as the need to increase the performance and safety characteristics of the related cooperation, coordi-nation and control mechanisms is encouraging the development of new information management strategies to direct and man- age the automated systems involved in the manufacturing processes. The Computational Intelligent (CI) approaches seem to provide an effective support to the challenges posed by the next generation industrial systems. In particular, the Intelligent Agents (IAs) and the Multi-Agent Systems (MASs) paradigms seem to provide the best suitable solutions. Autonomy, flexibility and adaptability of the agent-based technology are the key points to manage both automated and information processes of any industrial system. The paper describes the main features of the IAs and MASs and how their technology can be adapted to support the current and next generation advanced industrial systems. Moreover, a study of how a MAS is utilized within a productive process is depicted.
  • 关键词:Industrial Systems; Information Management; Intelligent Agents; Multi-Agent Systems
国家哲学社会科学文献中心版权所有