Agent Factory: A Framework for Prototyping Logic-Based AOP Languages

  • Sean Russell
  • Howell Jordan
  • Gregory M. P. O’Hare
  • Rem W. Collier
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6973)


Recent years have seen the emergence of a number of AOP languages. While these can mostly be characterized as logic-oriented languages that map situations to courses of action, they are based on a variety of concepts, resulting in obvious differences in syntax and semantics. Less obviously, the development tools and infrastructure - such as environment integration, reuse mechanisms, debugging, and IDE integration - surrounding these languages also vary widely. Two drawbacks of this diversity are: a perceived lack of transferability of knowledge and expertise between languages; and a potential obscuring of the fundamental conceptual differences between languages. These drawbacks can impact on both the languages’ uptake and comparability.

In this paper, we present a Common Language Framework that has emerged out of ongoing work on AOP languages that have been deployed through Agent Factory. This framework consists of a set of pre-written components for building agent interpreters, together with a set of tools that can be easily adapted to different AOP languages. Through this framework we have been able to rapidly prototype a range of different AOP languages, one of which is presented as a case study in this paper.


Multiagent System Parse Tree Agent Program Platform Service Runtime Environment 
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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  1. 1.
    Bellifemine, F.L., Caire, G., Greenwood, D.: Developing multi-agent systems with JADE. Wiley, Chichester (2007)CrossRefGoogle Scholar
  2. 2.
    Bordini, R.H., Hübner, J.F., Wooldridge, M.J.: Programming multi-agent systems in AgentSpeak using Jason. Wiley Interscience, Hoboken (2007)CrossRefzbMATHGoogle Scholar
  3. 3.
    Collier, R.W., O’Hare, G.M.P.: Modeling and programming with commitment rules in agent factory. In: Giurca, Gasevic, Tavater (eds.) Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches. IGI Publishing (2009)Google Scholar
  4. 4.
    Collier, R.W.: The realisation of agent factory: An environment for the rapid prototyping of intelligent agents. Master’s thesis, University of Manchester Institute of Science and Technology (UMIST), England (1996)Google Scholar
  5. 5.
    Dastani, M.M., van Riemsdijk, M.B., Dignum, F.P.M., Meyer, J.-J.C.: A programming language for cognitive agents goal directed 3APL. In: Dastani, M.M., Dix, J., El Fallah-Seghrouchni, A. (eds.) PROMAS 2003. LNCS (LNAI), vol. 3067, pp. 111–130. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  6. 6.
    Dennis, L.A., Farwer, B., Bordini, R.H., Fisher, M.: A flexible framework for verifying agent programs. In: Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems, pp. 1303–1306 (2008)Google Scholar
  7. 7.
    Dennis, L.A., Farwer, B., Bordini, R.H., Fisher, M., Wooldridge, M.J.: A common semantic basis for BDI languages. In: Dastani, M.M., El Fallah Seghrouchni, A., Ricci, A., Winikoff, M. (eds.) ProMAS 2007. LNCS (LNAI), vol. 4908, pp. 124–139. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  8. 8.
    Hindriks, K.V.: Programmingrationalagents in goal. Multi-Agent Programming, 119–157 (2009)Google Scholar
  9. 9.
    Nilsson, N.J.: Toward agent programs with circuit semantics, Stanford University. Computer Science Dept. Citeseer (1992)Google Scholar
  10. 10.
    Rao, A.: Agentspeak (l): Bdi agents speak out in a logical computable language. Agents Breaking Away, 42–55 (1996)Google Scholar
  11. 11.
    Russell, S., Carr, D., Dragone, M., OHare, G., Collier, R.: From bogtrotting to herding: a ucd perspective. Annals of Mathematics and Artificial Intelligence, 1–20 (2011), doi:10.1007/s10472-011-9236-zGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Sean Russell
    • 1
  • Howell Jordan
    • 2
  • Gregory M. P. O’Hare
    • 1
  • Rem W. Collier
    • 1
  1. 1.CLARITY: Centre for Sensor Web TechnologiesUniversity College DublinIreland
  2. 2.Lero - The Irish Software Engineering Research CentreUniversity of LimerickIreland

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