Advertisement

Location-Mediated Agent Coordination in Ubiquitous Computing

  • Akio Sashima
  • Noriaki Izumi
  • Koichi Kurumatani
Conference paper
  • 333 Downloads
Part of the Whitestein Series in Software Agent Technologies book series (WSSAT)

Abstract

A fundamental issue of Ubiquitous computing concerns the coordination gaps separating devices, services, and humans. Numerous heterogeneous devices, various information services, and users have different intentions and are physically located in environments, how can we coordinate the services and devices to assist a particular user in receiving a particular service so as to maximize the user’s satisfaction? We propose an agent-based coordination framework for ubiquitous computing to solve this human-centered service coordination issue. It is called location-mediated coordination. This paper explains some coordination gaps in ubiquitous computing. It describes a conceptual framework of the location-mediated agent coordination and its implementation, context-aware information assistant systems in museums.

Keywords

Web agents semantic web ubiquitous computing service coordination 
This is a preview of subscription content, log in to check access.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    M. Weiser. The computer for the 21st century. Scientific American, pages 94–104, 1991.Google Scholar
  2. [2]
    T. Berners-Lee, J. Hendler, and 0. Lassila. The semantic web. Scientific American, May 2001.Google Scholar
  3. [3]
    Resource Description Framework (RDF). http://www.w3.org/RDF/, 2004.Google Scholar
  4. [4]
    RDF vocabulary description language 1.0: RDF Schema (RDFS). http://www.w3.org/TR/rdf-schema/. 2004.Google Scholar
  5. [5]
    K. Decker, K. Sycara, and M. Williamson. Middle-agents for the internet. In Proceedings of the 15th International Joint Conference on Artificial Intelligence, Nagoya, Japan, 1997.Google Scholar
  6. [6]
    K. P. Sycara, M. Klusch, S. Widoff, and J. Lu. Dynamic service matchmaking among agents in open information environments. SIGMOD Record, 28(1):47–53, 1999.Google Scholar
  7. [7]
    M. Paolucci, T. Kawmura, T. Payne, and K. P. Sycara. Semantic matching of web services capabilities. In Proceedings of the 1st International Semantic Web Conference, pages 333–347, 2002.Google Scholar
  8. [8]
    The Foundation for Intelligent Physical Agents (FIPA). http://www.fipa.org/, 2004.Google Scholar
  9. [9]
    Suggested upper merged ontology (SUMO). http://ontology.teknowledge.com/, 2004.Google Scholar
  10. [10]
    OpenCyc. http://www.opencyc.org/, 2004.Google Scholar
  11. [11]
    DAML Service (DAML-S). http://www.daml.org/services/, 2003.Google Scholar
  12. [12]
    R. Casati and A. C. Varzi. Parts and Places: The Structures of Spatial Representation. The MIT Press, Cambridge, Massachusetts, 1999.Google Scholar
  13. [13]
    T. Bittner. Reasoning about qualitative spatio-temporal relations at multiple levels of granularity. In F. van Harmelen, editor, Proceedings of the 15th European Conference on Artificial Intelligence ECAI 2002, Amsterdam, 2002. IOS Press.Google Scholar
  14. [14]
    Java Agent DEvelopment framework (jade). http://sharon.cselt.it/projects/jade/, 2004.Google Scholar
  15. [15]
    Web Services Activity. http://www.w3.org/2002/ws/, 2004.Google Scholar
  16. [16]
    Google Web APIs. http://www.google.com/apis/, 2004.Google Scholar
  17. [17]
    R. Want, A. Hopper, V. Falcao, and J. Gibbons. The active badge location system. ACM Trans. Inf. Syst., 10(1):91–102, 1992.CrossRefGoogle Scholar
  18. [18]
    R. Want, B. Schilit, N. Adams, R. Gold, K. Petersen, J. Ellis, D. Goldberg, and M. Weiser. The PARCTAB ubiquitous computing experiment. Technical Report CSL-95-1, Xerox Palo Alto Research Center, March 1995.Google Scholar
  19. [19]
    G. D. Abowd, C. G. Atkeson, J. Hong, S. Long, R. Kooper, and M. Pinkerton. Cyberguide: a mobile context-aware tour guide. Wirel. Netw., 3(5):421–433, 1997.CrossRefGoogle Scholar
  20. [20]
    Y. Sumi, T. Etani, S. Fels, N. Simonet, K. Kobayashi, and K. Mase. C-map: Building a context-aware mobile assistant for exhibition tours. In Community Computing and Support Systems, Social Interaction in Networked Communities [the book is based on the Kyoto Meeting on Social Interaction and Communityware, held in Kyoto, Japan, in June 1998], pages 137–154. Springer-Verlag, 1998.Google Scholar
  21. [21]
    K. Nagao and J. Rekimoto. Agent augmented reality: A software agent meets the real world. In Proceedings of the Second International Conference on Multi-Agent Systems (ICMAS-96), pages 228–235, 1996.Google Scholar
  22. [22]
    H. Chen and S. Tolia. Steps towards creating a context-aware agent system. Technical report, HP Labs, 2001.Google Scholar
  23. [23]
    H. Chen, T. Finin, and A. Joshi. Semantic Web in in the Context Broker Architecture. In Proceedings of PerCom 2004, March 2004.Google Scholar
  24. [24]
    K. Kurumatani. Social coordination in architecture for physically-grounding agents. In Proceedings of Landscape Frontier International Symposium, pages 57–62, 2002.Google Scholar
  25. [25]
    K. Kurumatani. Mass user support by social coordination among citizens in a real environment. In Multiagent for Mass User Support, pages 1–19. Springer, 2004.Google Scholar
  26. [26]
    K. Kurumatani. User intention market for multi-agent navigation — an artificial intelligent problem in engineering and economic context. In Working Note of the AAAI-02 Workshop on Multi-Agent Modeling and Simulation of Economic Systems (MAMSES-02), pages 1–4. AAAI Press, 2002.Google Scholar

Copyright information

© Birkhäuser Verlag 2005

Authors and Affiliations

  • Akio Sashima
    • 1
  • Noriaki Izumi
    • 1
  • Koichi Kurumatani
    • 1
  1. 1.Cyber Assist Research CenterNational Institute of Advanced Industrial Science and Technology (AIST)TokyoJapan

Personalised recommendations

Cite paper

Buy options