Abstract
Agentis is a framework for the implementation of commercial, interactive, process-driven application systems, and is based upon an underlying agent technology (presently dMARS) that provides core agent functionality. These systems are intended to be programmed by the business process owner - application functionality is defined by a set of procedure and data definitions in an abstract process description language called GEM, and the framework is designed to allow these specifications to be easily modified and extended by their owner after the system has been implemented and commissioned. The tool set that supports the specification process has an industry-standard look-and-feel and is designed to be intuitive to non-technical users such as business analysts. Its use is supported by a methodology that guides specification refinement, helping to take agent-oriented programming out of the research lab and into the world of commerce and industry. The Agentis framework provides structure and functionality not provided by the underlying dMARS system. Key conceptual components are an agent model that defines standard agent types, and an agent interaction model based on explicit notions of services and tasks, a strictly typed agent communication language, a set of protocols that provide reliable, concurrent provision of services and tasks, and conventions for structuring agents into a hierarchy and controlling their activity. Concrete components are built-in agents that provide services for system management and monitoring, and standard interfaces that facilitate the integration of the Agentis system with other system components such as middleware, databases, user interfaces, web browsers and servers, and legacy systems. In a companion paper to this one, we have described and formally specified the interaction protocols that are a key element of the interaction model [3]. In this paper we motivate and present the design of the Agentis interaction model and describe its functionality.
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References
Michael E. Bratman. Intentions, Plans, and Practical Reason. Harvard University Press, Cambridge, MA, 1987.
M. d’Inverno, D. Kinny, M. Luck, and M. Wooldridge. A formal specification of dMARS. In Intelligent Agents IV: Proceedings of the Fourth International Workshop on Agent Theories, Architectures, and Languages (ATAL-97). LNAI 1365, Providence, RI, 1997. Springer.
Mark d’Inverno, David Kinny, and Michael Luck. Interaction protocols in Agentis. In Proceedings of the Third International Conference on Multi-Agent Systems (ICMAS-98), Paris, 1998.
T. Finin and R. Fritzson. KQML — a language and protocol for knowledge and information exchange. In Proceedings of the Thirteenth International Workshop on Distributed Artificial Intelligence, pages 126–136, Lake Quinalt, WA, July 1994.
Foundation for Intelligent Physical Agents. FIPA 97 Specification Part 2: Agent Communication Language, November 1997. Version 1.0.
Michael P. Georgeff and Felix Ingrand. Decision-making in an embedded reasoning system. In Proceedings of the Eleventh International Joint Conferenceon Artificial Intelligencez, IJCAI-89, pages 972–978, Detroit, MI, 1989.
Michael P. Georgeff and Amy L. Lansky. Procedural knowledge. In Proceedings of the IEEE Special Issue on Knowledge Representation, volume 74, pages 1383–1398, 1986.
C. A. R. Hoare. Communicating Sequential Processes. Prentice Hall, Englewood Cliffs, NJ, 1985.
C. A. Iglesias, M. Garijo, and J. C. Gonzalez. A survey of agent-oriented methodologies. In J. P. Müller, M. P. Singh, and A. S. Rao, editors, Intelligent Agents V — Proceedings of the Fifth International Workshop on Agent Theories, Architectures, and Languages (ATAL-98), Lecture Notes in Artificial Intelligence. Springer-Verlag, Heidelberg, 1999. In this volume.
David Kinny. The Distributed Multi-Agent Reasoning System Architecture and Language Specification. Australian Artificial Intelligence Institute, Melbourne, Australia, 1993.
David Kinny and Michael Georgeff. Modelling and design of multi-agent systems. In Intelligent Agents III: Proceedings of the Third International Workshop on Agent Theories, Architectures, and Languages (ATAL-96). LNAI 1193, Budapest, 1996. Springer.
David Kinny, Michael Georgeff, and Anand Rao. A methodology and modelling technique for systems of BDI agents. In Agents Breaking Away: Proceedings of the Seventh European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW’ 96. LNAI 1038, Eindhoven, The Netherlands, 1996. Springer.
R. Marshak. Action technology’s workflow products-coordinating activities of people as they work together. Workgroup Computing Report, 16(5):4–11, 1993.
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Kinny, D. (1999). The Agentis Agent InteractionModel. In: Müller, J.P., Rao, A.S., Singh, M.P. (eds) Intelligent Agents V: Agents Theories, Architectures, and Languages. ATAL 1998. Lecture Notes in Computer Science, vol 1555. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49057-4_22
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DOI: https://doi.org/10.1007/3-540-49057-4_22
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