Abstract
Knowledge-driven processes are business processes whose execution is determined by the prior knowledge of the agents involved and by the knowledge that emerges during a process instance. They are characteristic of emergent business processes. The amount of process knowledge that is relevant to a knowledge-driven process can be enormous and may include common sense knowledge. If a process’ knowledge can not be represented feasibly then that process can not be managed; although its execution may be partially supported. In an e-market domain, the majority of transactions, including requests for advice and information, are knowledge-driven processes for which the knowledge base is the Internet, and so representing the knowledge is not an issue. These processes are managed by a multiagent system that manages the extraction of knowledge from this base using a suite of data mining bots.
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References
Debenham, JK. Supporting the actors in an electronic market place. In proceedings Twenty First International Conference on Knowledge Based Systems and Applied Artificial Intelligence, ES’2001: Applications and Innovations in Expert Systems IX, Cambridge UK, December 2001, pp29–42.
Fischer, L. (Ed). Workflow Handbook 2001. Future Strategies, 2000.
van der Aalst, W. & van Hee, K. Workflow Management: Models, Methods, and Systems. MIT Press (2001).
Jennings, N.R., Faratin, P., Norman, T.J., O’Brien, P. and Odgers, B. (2000) Autonomous Agents for Business Process Management. Int. Journal of Applied Artificial Intelligence 14 (2) 145–189.
Rao, A.S. and Georgeff, M.P. “BDI Agents: From Theory to Practice”, in proceedings First International Conference on Multi-Agent Systems (ICMAS-95), San Francisco, USA, pp 312–319.
Debenham, JK. Supporting knowledge-driven processes in a multiagent process management system. In proceedings Twentieth International Conference on Knowledge Based Systems and Applied Artificial Intelligence, ES’2000: Research and Development in Intelligent Systems XV, Cambridge UK, December 2000, pp273–286.
Debenham, JK and Simoff, S. Investigating the Evolution of Electronic Markets. In proceedings Sixth International Conference on Cooperative Information Systems, CoopIS 2001, Trento, Italy, September 5-7, 2001, pp344–355.
Cowell, RG, Dawid, AP, Lauritzen, SL and Spiegelhater, DJ. Probabilistic Networks and Expert Systems. Springer-Verlag, (1999)
Weiss, G. (ed) (1999). Multi-Agent Systems. The MIT Press: Cambridge, MA.
Klemperer, P. (Ed). The Economic Theory Of Auctions. Edward Elgar Publishing (2000).
Debenham, JK and Simoff, S. Designing a Curious Negotiator. In proceedings Third International Workshop on Negotiations in electronic markets — beyond price discovery-e-Negotiations 2002, September 2002, Aix-en-Provence, France.
Watkins, M. Breakthrough Business Negotiation-A Toolbox for Managers. Jossey-Bass, 2002.
Myerson, R. & Satterthwaite, M. Efficient Mechanisms for Bilateral Trading. Journal of Economic Theory, 29, 1-21, April 1983.
Kraus, S. Strategic Negotiation in Multiagent Environments. MIT Press, 2001.
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Debenham, J. (2002). Knowledge-Driven Processes Can Be Managed. In: McKay, B., Slaney, J. (eds) AI 2002: Advances in Artificial Intelligence. AI 2002. Lecture Notes in Computer Science(), vol 2557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36187-1_17
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DOI: https://doi.org/10.1007/3-540-36187-1_17
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