Multiagent technology for fault tolerance and flexible control

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 36, Issue 5, 2006, Pages 700-704

  Staron, Raymond J ^b   Maturam, Francisco P ^b   Hall, Kenwood H ^b  

^a Rockwell Automation sro   (Czech Republic)

^b ROCKWELL AUTOMATION   (United States)

Author keywords

Cooperative systems; distributed control; fault tolerance; intelligent control

Indexed keywords

COOPERATIVE SYSTEMS; PHYSICAL DISTRIBUTION; SOCIAL KNOWLEDGE; CONTROL APPLICATIONS; DISTRIBUTED CONTROL; FLEXIBLE CONTROLS; KEY PARTS; MAIN CHARACTERISTICS; MAS FRAMEWORKS; MULTI-AGENT TECHNOLOGIES; SOCIAL-KNOWLEDGE;

CONTROL THEORY; DISTRIBUTED PARAMETER CONTROL SYSTEMS; FAULT TOLERANCE; FAULT TOLERANT COMPUTER SYSTEMS; INTELLIGENT CONTROL; MULTI AGENT SYSTEMS; QUALITY ASSURANCE;

MULTI AGENT SYSTEMS; FAULT TOLERANCE;

EID: 33947119109     PISSN: 10946977     EISSN: 15582442     Source Type: Journal    
DOI: 10.1109/TSMCC.2006.879381     Document Type: Article

References (18)

1. R. Diestel, “Graph theory,” Graduate Texts in Mathematics, vol. 173, New York, Springer-Verlag, 2000.
2. FIPA: The Foundation for Intelligent Physical Agents, Geneva, Switzerland, 1997. [Online]. Available: http://www.fipa.org
3. I. M. Havel, “Artificial intelligence and connectionism: Some philosophical implications,” in Advanced Topics in AI, Y. Mařík, O. Štěpánková, and R. Trappl, Eds.: Lecture Notes in Computer Science, vol. 617, Berlin, Germany: Springer-Verlag, 1992, pp. 25–41.
4. S. Hagg, “A sentinel approach to fault handling in multiagent systems,” in Proc. 2nd Australian Workshop on Distributed AI, in conjunction with the 4th Pacific Rim Int. Conf. Artificial Intelligence, Lecture Notes in Artificial Intelligence, vol. 1114, Berlin, Germany: Springer-Verlag, 1996, pp. 181—195.
5. JADE: Java Agent DEvelopment Framework Work, Telecom Italia Lab, Torino, Italy. [Online]. Available: http://sharon.cselt.it/projects/ jade/
6. E. Kit, Software Testing in the Real World: Improving the Process, Reading, MA: Addison-Wesley, 1995.
7. S. Kumar, P. R. Cohen, and H. J. Levesque, “The adaptive agent architecture: Achieving fault-tolerance using persistent broker teams,” in Proc. 4th Int. Conf. Multiagent Systems, Boston, MA, 2000, pp. 159—166.
8. M. Pěchouček, V. Mařik, and O. Stěpánková, “Role of acquaintance models in agent-based production planning system,” in Cooperative Information Agents IV. Lecture Notes in Artificial Intelligence, vol. 1860, M. Klusch and L. Kerschberg, Eds. Heidelberg, Germany: Springer-Verlag, 2000, pp. 179–190.
9. O. Marin, “The DARX framework: Adapting Fault Tolerance for Agent Systems,” Ph.D. thesis, Univ. Havre, 2003.
10. V. Mařik, M. Pěchouček, and O. Stěpánková, “Social knowledge in multiagent systems,” in Proc. Multiagent Syst. Appl., Lecture Notes in Artifical Intelligence, vol. 2086, Berlin, Germany: Springer-Verlag, 2001, pp. 211–245.
11. F. P. Maturana, R. J. Staron, P. Tichý, P. Slechta, and P. Vrba, “A strategy to implement and validate industrial applications of holonic systems,” in Proc. 2nd Int. Conf. Applications of Holonic and Multiagent Systems, vol. 3593, 2005, pp. 111–120.
12. F. P. Maturana, P. Tichy, P. Slechta, R. J. Staron, F. M. Discenzo, K. H. Hall, and V. Mařik, “Cost-based dynamic reconfiguration system for intelligent agent negotiation,” in Proc. IEEE/WIC Int. Conf. Intelligent Agent Technology (IAT), 2003, pp. 629–632.
13. S. Pleisch and A. Schiper, “Approaches to fault-tolerant and transactional mobile agent execution—an algorithmic view,” ACM Comput. Surv., vol. 36, no. 3, pp. 219–262, 2004.
14. W. Shen, S. Y. T. Lang, and L. Lang, “iShopFloor: An internet-enabled agent-based intelligent shop floor,” IEEE Trans. Syst., Man, Cybern., Part C, vol. 35, no. 3, pp. 371–381, May 2005.
15. O. M. Sheory, “A scalable agent location mechanism,” in Lecture Notes in Artificial Intelligence, Intelligent Agents VI, M. Wooldridge and Y. Lesperance, Eds., 1999, pp. 162–173.
16. P. Tichý, “Middle-agents organized in fault tolerant and fixed scalable structure,” Comput. and Inf., vol. 22, pp. 597–622, 2003.
17. P. Tichý, P. Slechta, F. P. Maturana, and S. Balasubramanian, “Industrial MAS for planning and control,” in Proc. 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001, Multiagent. Syst. Appl. II, V. Mařik, O. Stěpánková, H. Krautwurmova, and M. Luck, Eds. Lecture Notes in Artificial Intelligence, vol. 2322, Berlin: Springer-Verlag, 2002, pp. 280–295.
18. M. J. Wooldridge and N. R. Jennings, “Intelligent agents: Theory and practice,” Knowl. Eng. Rev., vol. 10, no. 2, pp. 115–152, 1995.