A concept of an agent-augmented process automation system

IEEE International Symposium on Intelligent Control - Proceedings

Volumn , Issue , 2002, Pages 473-478

  Seilonen, Ilkka ^a   Appelqvist, Pekka ^a   Vainio, Mika ^a   Halme, Aarne ^a   Koskinen, Kari ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

Agents; Fault tolerance; Mobile robots; Process automation

Indexed keywords

CLIENT SERVER COMPUTER SYSTEMS; COMPUTER OPERATING SYSTEMS; COMPUTER SYSTEM RECOVERY; FAULT TOLERANT COMPUTER SYSTEMS; INDUSTRIAL APPLICATIONS; INTEROPERABILITY; JAVA PROGRAMMING LANGUAGE; MOBILE ROBOTS; MULTI AGENT SYSTEMS; PARALLEL PROCESSING SYSTEMS; SCADA SYSTEMS; SOFTWARE AGENTS;

AGENT TECHNOLOGY; FAULT RECOVERY; PROCESS AUTOMATION SYSTEM;

PROCESS CONTROL;

EID: 0036911582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. P. Appelqvist, Mechatronics design of a robot society - A case study of minimalist underwater robots for distributed perception and task execution. Doctoral Thesis, Automation Technology Laboratory, Helsinki University of Technology, Finland, 2000.
2. D. Cockburn and N. R. Jennings, ARCHON: A distributed artificial intelligence system for industrial applications. In: G. M. P. O'Hare and N. R. Jennings (eds), Foundations of Distributed Artificial Intelligence, Wiley & Sons, 1995.
3. FIPA, http://www.fipa.org
4. FIPA-OS, http://fipa-os.sourceforge.net
5. HMS Consortium, FIPA project proposal: Agent architecture of Holonic control devices, http://www.holobloc.com/stds/fipa/hcd
6. Jess, http://herzberg.ca.sandia.gov/jess
7. V-M. Järvelä, T. Sillanpää, H. Lehtinen, H. Mäkelä and P. Merin, Quality of paper roll transportation monitored, Automation Technology Review, VTT Automation, December 1998, pp. 69-73.
8. S. Kuikka, A batch process management framework, Domain-specific, design pattern and software component based approach. VTT Publications No. 398, Finland, 1999.
9. R. G. Smith, The Contract Net protocol: high-level communication and control in a distributed problem solver. IEEE Transactions on Computers, vol. c-29, No. 12, pp. 1104-1113, 1980.
10. M. Vainio, P. Appelqvist and A. Halme, Control architecture for an underwater robot society. In Distributed Autonomous Robotic Systems 4 (DARS 2000) (Parker L.E., Bekey G., Barhen J., (Ed)), pp. 15-24, Springer-Verlag, Tokyo, Japan, 2000.
11. A. J. N van Breemen and T. J. A. de Vries, Design and implementation of a room thermostat using an agent-based approach, Control Engineering Practice, vol. 9, pp. 233-248, 2001.
12. D. H. van Parunak, Industrial and practical applications of DAI. In: G. Weiss, (ed), Multiagent systems, Cambridge, MA, USA, pp. 377-421, 1999.
13. J. R. Velasco, J. C. González, C. A. Iglesias and L. Magdalena, Multiagent based control systems: A hybrid approach to distributed process control, Control Engineering Practice, vol. 4, no. 6, pp. 839-845, 1996.
14. H. Wang and C. Wang, Intelligent agents in the nuclear industry, IEEE Computer, vol. 30, no. 11, pp. 28-34, 1997.
15. F. Ygge and H. Akkermans, H. Decentralized markets versus central control: A comparative study, Jornal of Artificial Intelligence Research, vol. 11, pp. 301 - 333, 1999.