Advertisement

CArtAgO: A Framework for Prototyping Artifact-Based Environments in MAS

  • Alessandro Ricci
  • Mirko Viroli
  • Andrea Omicini
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4389)

Abstract

This paper describes CArtA gO, a framework for developing artifact-based working environments for multiagent systems (MAS). The framework is based on the notion of artifact, as a basic abstraction to model and engineer objects, resources and tools designed to be used and manipulated by agents at run-time to support their working activities, in particular the cooperative ones. CArtA gO enables MAS engineers to design and develop suitable artifacts, and to extend existing agent platforms with the possibility to create artifact-based working environments, programming agents to exploit them. In this paper, first the abstract model and architecture of CArtA gO is described, then a first Java-based prototype technology is discussed.

Keywords

Virtual Machine Multiagent System Observable State Operating Instruction Agent Architecture 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Ricci, A., Viroli, M., Omicini, A.: Programming MAS with artifacts. In: Bordini, R.H., Dastani, M., Dix, J., Seghrouchni, A.E.F. (eds.) Programming Multi-Agent Systems. LNCS (LNAI), vol. 3862, pp. 163–178. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  2. 2.
    Weyns, D., Omicini, A., Odell, J.: Environment as a first-class abstraction in multi-agent systems. Autonomous Agents and Multi-Agent Systems, Special Issue on Environments for Multi-agent Systems 14(1), 49–60 (2007)Google Scholar
  3. 3.
    Viroli, M., Ricci, A., Holvoet, T., Shelfthout, K., Zambonelli, F.: Infrastructures for the environment of multiagent systems. Autonomous Agents and Multi-Agent Systems, Special Issue on Environments for Multi-agent Systems 14(1), 5–30 (2007)Google Scholar
  4. 4.
    Nardi, B.A.: Context and Consciousness: Activity Theory and Human-Computer Interaction. MIT Press, Cambridge (1996)Google Scholar
  5. 5.
    Kirsh, D.: Distributed cognition, coordination and environment design. In: European conference on Cognitive Science, pp. 1–11 (1999)Google Scholar
  6. 6.
    Agre, P.: Computational research on interaction and agency. Artificial Intelligence 72(1-2), 1–52 (1995)CrossRefGoogle Scholar
  7. 7.
    Amant, R.S., Wood, A.B.: Tool use for autonomous agents. In: Veloso, M.M., Kambhampati, S. (eds.) AAAI/IAAI’05 Conference, Pittsburgh, PA, USA, 9–13 jul. 2005, pp. 184–189. MIT Press, Cambridge (2005)Google Scholar
  8. 8.
    Omicini, A., Ricci, A., Viroli, M., Castelfranchi, C., Tummolini, L.: Coordination artifacts: Environment-based coordination for intelligent agents. In: AAMAS’04, vol. 1, 19–23 jul., pp. 286–293. ACM Press, New York (2004)Google Scholar
  9. 9.
    Weyns, D., Steegmans, E., Holvoet, T.: Towards active perception in situated multiagent systems. Applied Artificial Intelligence 18(9–10), 867–883 (2004)CrossRefGoogle Scholar
  10. 10.
    Viroli, M., Ricci, A.: Instructions-based semantics of agent mediated interaction. In: AAMAS’04, vol. 1, New York, USA, 19–23 jul., pp. 286–293. ACM Press, New York (2004)Google Scholar
  11. 11.
    Weyns, D., Holvoet, T.: Formal model for situated multiagent systems. Fundamenta Informaticae 63(2–3), 125–158 (2004)zbMATHMathSciNetGoogle Scholar
  12. 12.
    Platon, E., Honiden, S., Sabouret, N.: Oversensing with a softbody in the environment: Another dimension of observation. In: Kaminka, G.A., Pynadath, D.V., Geib, C.W. (eds.) Workshop “Modeling Others from Observation” (MOO 2005), IJCAI-05, Edinburgh, Scotland, 30 jul. (2005), http://www.isi.edu/~pynadath/MOO-2005/
  13. 13.
    Omicini, A., Zambonelli, F.: Coordination for Internet application development. Autonomous Agents and Multi-Agent Systems 2(3), 251–269 (1999)CrossRefGoogle Scholar
  14. 14.
    Sandhu, R., Coyne, E.J., Feinstein, H.L., Youman, C.E.: Role-based control models. IEEE Computer 29(2), 38–47 (1996)Google Scholar
  15. 15.
    Omicini, A., Ricci, A., Viroli, M.: An algebraic approach for modelling organisation, roles and contexts in MAS (Special Issue: Process Algebras and Multi-Agent Systems). Applicable Algebra in Engineering, Communication and Computing, Special Issue: Process Algebras and Multi-Agent Systems 16(2-3), 151–178 (2005), http://dx.doi.org/10.1007/s00200-005-0174-z, doi:10.1007/s00200-005-0174-zzbMATHMathSciNetGoogle Scholar

Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Alessandro Ricci
    • 1
  • Mirko Viroli
    • 1
  • Andrea Omicini
    • 1
  1. 1.ALMA MATER STUDIORUM—Università di Bologna via Venezia 52, 47023 CesenaItaly

Personalised recommendations