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Archon: A Cooperation Framework for Industrial Process Control

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CKBS ’90

Abstract

This paper describes some of the issues involved in developing a cooperation framework for industrial process control. The underlying domain characteristics of heterogeneity and pre-existing problem solvers are explained and their impact on the cooperation framework design are outlined. Problems which arise when trying to coordinate multiple problem solvers are described and then attention is focused on the concept of loosely coupling and how this affects urgency (task and message scheduling in a cooperative environment).

This paper reflects the effort of the whole ARCHON consortium. The partners are: Krupp Atlas Elektronik, JRC Ispra, Framentec, QMW, IRIDIA, Iberduero, Labein, ERDC, Amber, Technical University of Athens, University of Amsterdam, Volmac, CERN and University of Porto.

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References

  1. Avouris,N.M., Liedekerke,M.H.V. & Sommaruga,L., (1989), “Evaluating the CooperA Experiment”, Proc. DAI Workshop, pp 351–266.

    Google Scholar 

  2. Bond,A.H. & Gasser,L., (1988), “Readings in Distributed Artificial Intelligence’, Morgan Kaufmann.

    Google Scholar 

  3. Brandau,R. & Weihmayer,R., (1989), “Heterogeneous Multiagent Cooperative Problem Solving in a Telecommunication Network Domain”, Proc DAI Workshop, pp 41–57.

    Google Scholar 

  4. Cammarata,S., McArthur,D. & Steeb,R., (1983), “Strategies of Cooperation in Distributed Problem Solving”, IJCAI, pp 767770.

    Google Scholar 

  5. Davis,R. & Smith,R.G., (1983), “Negotiation as a Metaphor for Distributed Problem Solving”, Artificial Intelligence, 20, pp 63–109.

    Article  Google Scholar 

  6. Decker,K.S., (1987), “Distributed Problem Solving Techniques: A Survey”, IEEE SMC, 17, 5, pp 729–740.

    Google Scholar 

  7. Durfee,E.H., Lesser,V.R. & Corkill,D.D., (1988), “Cooperation through Communication in a Distributed Problem Solving Network”, in [Huh88], pp 29–59.

    Google Scholar 

  8. Durfee,E.H., Lesser,V.R. & Corkill,D.D., (1985), “Coherent cooperation among communicating problem solvers’. Proc DAI Workshop, pp. 231–276.

    Google Scholar 

  9. Erman L.D. & Lesser V.R., (1975) “A Multi-Level Organization for Problem Solving using Many Diverse Cooperating Sources of Knowledge’, IJCAI.

    Google Scholar 

  10. Fikes R.E. & Nilsson N.J.,(1971) ‘STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving“. Artificial Intelligence 2, pp. 189–208

    Google Scholar 

  11. Fox81] Fox M.S.,(1981) ‘An Organization View of Distributed Systems’. IEEE SMC,11,1.

    Google Scholar 

  12. Gasser,L. & Huhns,M.N., (1989), ‘Distributed Artificial Intelligence Volume II“, Pitman Publishing.

    Google Scholar 

  13. Gasser,L., Braganza,C. & Herman,N., (1988), “MACE: A Flexible Testbed for Distributed AI Research”, in [Huh88], pp 119–153.

    Google Scholar 

  14. Halpern,J.Y., (1986), ‘Theoretical Aspects of Reasoning About Knowledge’ Proc. of the 1986 Conference, Morgan Kaufmann.

    Google Scholar 

  15. Hayes-Roth B., (1983) ‘The Blackboard Architecture: a General Framework for Problem Solving 7“, Stanford Heuristic Programming Project, HPP-83–30

    Google Scholar 

  16. Huhns,M.N., (1988), ‘Distributed Artificial Intelligence’, Pitman Publishing.

    Google Scholar 

  17. McClelland,J.L. & Rumelhart,D.E., (1986), “Parallel Distributed Processing’, MIT Press.

    Google Scholar 

  18. Muller,J. & Demazeau,Y., (1989), “Decentralized Artificial Intelligence’, Proc. of First European Workshop on Modelling an Autonomous Agent in a Multi-Agent World.

    Google Scholar 

  19. Saffiotti,A., (1990), “A Hybrid Framework for Representing Uncertain Knowledge’, AAAI, pp 653–658.

    Google Scholar 

  20. Simon, H.A., (1957) ‘Models of Man’ Wiley

    Google Scholar 

  21. Smith,R.G. & Davis,R., (1981), ‘Framework for Cooperation in Distributed Problem Solving’, IEEE SMC, 11, 1, pp 61–70.

    Article  Google Scholar 

  22. Smi80] Smith,R.D. (1980) ‘The contract net protocol: high level communication and control in a distributed problem solver° in [Bon88].

    Google Scholar 

  23. Sridharan,N.S., (1987), ‘1986 Workshop on Distributed AI“, AI Magazine, Fall 1987, pp. 75–85.

    Google Scholar 

  24. Stevens,W. Myers,G. Constantine,L. (1974) “Structured Design’. IBM System Journal, 13 (2), pp. 115–139.

    Article  Google Scholar 

  25. Werner,E., (1989), “Cooperating Agents: A Unified Theory and Social Structure’, in [Gas89] pp 3–36.

    Google Scholar 

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© 1991 Springer-Verlag London Limited

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Roda, C., Jennings, N.R., Mamdani, E.H. (1991). Archon: A Cooperation Framework for Industrial Process Control. In: Deen, S.M. (eds) CKBS ’90. Springer, London. https://doi.org/10.1007/978-1-4471-1831-2_5

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  • DOI: https://doi.org/10.1007/978-1-4471-1831-2_5

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19649-5

  • Online ISBN: 978-1-4471-1831-2

  • eBook Packages: Springer Book Archive

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