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VIPER: A VIsual Protocol EditoR

  • C. F. B. Rooney
  • R. W. Collier
  • G. M. P. O’Hare
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2949)

Abstract

Agent interactions play a crucial role in Multi-Agent Systems. Consequently graphical formalisms, such as Agent UML, have been adopted that allow agent developers to abstract away from implementation details and focus on the core aspects of such interactions. Agent Factory (AF) is a cohesive framework that supports the development and deployment of agent-oriented applications. This paper introduces the Visual Protocol Editor (VIPER), a graphical tool that allows users to diagrammatically construct agent interaction protocols. These protocols are subsequently realised through AF-APL, the purpose-built Agent-Oriented Programming language that sits at the heart of AF. In particular, we focus upon the design of interaction protocols using a subset of Agent UML. To this end, we specify a number of tools and an associated process through which developers can supplement these protocols with application- and domain-dependant AF-APL rules to create useful agents that adhere to the protocol constraints.

Keywords

Configuration File Agent Interaction Agent Factory Protocol Model Agent Design 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Caire, G., Leal, F., Chainho, P., Evans, R., Garijo, F., Gomez, J., Pavon, G., Kearney, P., Stark, J., Massonet, P.: Agent Oriented Analysis using MESSAGE/UML. In: Proceedings of the International Workshop Series on Agent-Oriented Software Engineering, AOSE (2001)Google Scholar
  2. 2.
    Collier, R.: Agent Factory: A Framework for the Engineering of Agent-Oriented Applications, Ph.D. Thesis, Department of Computer Science, University College Dublin, Ireland (2001)Google Scholar
  3. 3.
    Collier, R.W., O’Hare, G.M.P., Lowen, T., Rooney, C.F.B.: Beyond Prototyping in the Factory of the Agents. In: Mařík, V., Müller, J.P., Pěchouček, M. (eds.) CEEMAS 2003. LNCS (LNAI), vol. 2691, p. 383. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  4. 4.
    Galan, A.K.: JiVE: JAFMAS integrated Visual Environment, MSc Thesis, Department of Electrical and Computer Engineering and Computer Science of the College of Engineering, University of Cincinnati (2000)Google Scholar
  5. 5.
    Giorgini, P., Kolp, M., Mylopoulos, J., Pistore, M.: The Tropos Methodology: an overview. In: Bergenti, F., Gleizes, M.-P., Zambonelli, F. (eds.) Methodologies And Software Engineering For Agent Systems, December 2003, Kluwer Academic Publishing, New York (2003)Google Scholar
  6. 6.
    Hindriks, K.V., de Boer, F.S., van der Hoek, W., Meyer, J.-J.: Agent programming in 3APL. Autonomous Agents and Multi-Agent Systems 2(4), 357–401 (1999)CrossRefGoogle Scholar
  7. 7.
    Huget, M.-P., Bauer, B., Odell, J., Levy, R., Turci, P., Cervenka, R., Zhu, H.: FIPA Modelling; Interaction Diagrams, FIPA Working Draft (2002)Google Scholar
  8. 8.
    Huget, M.-P.: Generating Code for Agent UML Protocol Diagrams. In: Bauer, B., Fischer, K., Muller, J., Rumpe, B. (eds.) Proceedings of Agent Technology and Software Engineering (AgeS), Erfurt, Germany (October 2002)Google Scholar
  9. 9.
    Koning, J.-L.: AGIP: a tool for automating the generation of conversation policies. In: Shi, Z. (ed.) Proceedings of 16th IFIP World Computer Congress, Intelligent Information Processing (IIP 2000), Beijing, China (August 2000)Google Scholar
  10. 10.
    Odell, J., Van Dyke Parunak, H., Bauer, B.: Representing Agent Interaction Protocols in UML. In: Ciancarini, P., Wooldridge, M. (eds.) Agent-Oriented Software Engineering, pp. 121–140. Springer, Berlin (2001)CrossRefGoogle Scholar
  11. 11.
    O’Hare, G.M.P.: Agent Factory: An Environment for the Fabrication of Distributed Artificial Systems. In: O’Hare, G.M.P., Jennings, N.R. (eds.) Foundations of Distributed Artificial Intelligence. Sixth Generation Computer Series, Wiley Interscience Pubs., New York (1996)Google Scholar
  12. 12.
    Pavon, J., Gomez-Sanz, J.: Agent Oriented Software Engineering with INGENIAS. In: Mařík, V., Müller, J.P., Pěchouček, M. (eds.) CEEMAS 2003. LNCS (LNAI), vol. 2691, p. 394. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  13. 13.
    Rao, A.S., Georgeff, M.P.: Modeling Rational Agents within a BDI Architecture. In: Allen, J., Fikes, R., Sandwall, E. (eds.) Proceedings of Second International Conference on Principles of Knowledge Representation and Reasoning, pp. 473–484. Morgan-Kaufmann, San Mateo (1991)Google Scholar
  14. 14.
    Rao, A.: AgentSpeak(L): BDI Agents speak out in a logical computable language. In: Perram, J., Van de Velde, W. (eds.) MAAMAW 1996. LNCS (LNAI), vol. 1038, Springer, Heidelberg (1996)CrossRefGoogle Scholar
  15. 15.
  16. 16.
    Wooldridge, M.: Practical Reasoning with Procedural Knowledge: A Logic of BDI Agents with Know-How. In: Gabbay, D.M., Ohlbach, H.-J. (eds.) Proceedings of the International Conference on Formal and Applied Practical Reasoning, Springer, Heidelberg (1996)Google Scholar
  17. 17.
    Wooldridge, M., Jennings, N.R., Kinny, D.: The Gaia Methodology for Agent-Oriented Analysis and Design. Journal of Autonomous Agents and Multi-Agent Systems 3(3), 285–312 (2000)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • C. F. B. Rooney
    • 1
  • R. W. Collier
    • 1
  • G. M. P. O’Hare
    • 1
  1. 1.Department of Computer ScienceUniversity College DublinBelfield, Dublin 4Ireland

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