Agent-based decision support system for realizing intelligent machine tools

  • Authors:

  • Seung Woo Lee;Dong Hoon Kim;Jun Yeob Song;Hwa Ki Lee

  • Affiliations:

  • Intelligent Machine System Research Center, Korea Institute of Machinery & Materials, Daejeon, Korea;Intelligent Machine System Research Center, Korea Institute of Machinery & Materials, Daejeon, Korea;Intelligent Machine System Research Center, Korea Institute of Machinery & Materials, Daejeon, Korea;Department of Industrial Engineering, INHA University, InCheon, Korea

  • Venue:
  • CONTROL'05 Proceedings of the 2005 WSEAS international conference on Dynamical systems and control
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

In order to implement artificial intelligence, various technologies have been widely used. Artificial Intelligence is applied for many industrial products and machine tools are the center of manufacturing devices in intelligent manufacturing devices. The purpose of this paper is to present the design of Decision Support Agent that is applicable to machine tools. This system is that decision whether to act in accordance with machine status is support system. It communicates with other active agents such as sensory and dialogue agent. The proposed design of decision support agent facilitates the effective operation and control of machine tools and provides a systematic way to integrate the expert's knowledge that will implement Intelligent Machine Tools.