Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Multi-Agent Multi-User Modeling in I-Help

  • Published:
User Modeling and User-Adapted Interaction Aims and scope Submit manuscript

Abstract

This paper describesthe user modeling approach applied in I-Help, a distributed multi-agent based collaborative environment for peer help. There is a multitude of user modeling information in I-Help, developed by the various software agents populating the environment. These ‘user model fragments’ have been created in a variety of specific contexts to help achieve various goals. They are inherently inconsistent with one another and reflect not only characteristics of the users, but also certain social relationships among them. The paper explores some of the implications of multi-agent user modeling in distributed environments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Adar, E. and Huberman, B. (2000) Free Riding on Gnutella, First Monday, available on line at: http://www.firstmonday.dk/issues/issue5_10/adar/index.html

  • Breban, S. and Vassileva, J. (2001) Long-term Coalitions for the Electronic Marketplace, In: B. Spencer (ed.) Workshop Proceedings E-Commerce Applications, Canadian AI Conference, Ottawa, June 7-10 2001.

  • Bull, S. and Pain, H. (1995) “Did I say what I think I said, and do you agree with me?”: Inspecting and Questioning the Student Model, In: J. Greer (ed.), Proceedings of World Conference on AI in Education AIED’95, AACE: Charlottesville, 501-508.

    Google Scholar 

  • Bull, S. (1998) ‘Do It Yourself’ Student Models for Collaborative Student Modeling and Peer Interaction, In: B. P. Goettl, H. M. Halff, C. L. Redfield and V. J. Shute (eds.) Intelligent Tutoring Systems ITS98, LNCS No1452, Springer-Verlag, Berlin Heidelberg, 176-185.

    Google Scholar 

  • Carmel, D. and Markovich, S. (1998) Learning Models of Intelligent Agents, in Proceedings 3rd International Conference on Multiagent Systems. ICMAS’98, 64-71.

  • Cassel, J. and Bickmore, T. (2003) Negotiated Collusion:Modeling Social Language and its Relationship Effects in Intelligent Agents. 13(1-2) 89-132 (this issue)

    Google Scholar 

  • Collins, J., Greer, J., Kumar, V., McCalla, G., Meagher, P. and Tkach, R. (1997) Inspectable User Models for Just in TimeWorkplace Training. In: A. Jameson, C. Paris and C. Tasso (eds.) User Modeling, Proceedings 6th Conference on User Modeling, UM97, Springer Wien New York, 327-337.

  • Deters, R. (2000) Maintainability & Dependability of Mobile Autonomous Agents, Proceedings Workshop on Infrastructure For Scalable Multi-Agent Systems, Autonomous Agents’2001, Barcelona.

  • Deters, R. (2001) Towards Scalable MAS, Proceedings International Conference on Enterprise Information Systems ICEIS 2001, Setubal, July 711, 2001.

  • Durfee, E. and Lesser, V. (1987) Negotiating Task Decomposition and Allocation Using Partial Global Planning. Huhns, L., and Gasser, M. (eds.) Distributed Artificial Intelligence. Vol. 2, Morgan Kaufmann: San Mateo, California, 229-243.

    Google Scholar 

  • Fink, J. (1999) Implications from Transaction Management for Adaptive and User Modeling Systems, in Proceedings 7th User Modeling Conference UM’99, Springer Wien NewYork, 191-200.

  • Fink, J. (forthcoming) User Modeling Servers-Requirements, Design, and Evaluation, Doctoral Dissertation, Department of Mathematics and Computer Science, University of Essen, Germany.

  • Fink, J. and Kobsa, A. (2000) A Review and Analysis of Commercial User Modeling Servers for Personalization on the World Wide Web. User Modeling and User-Adapted Interaction 10(3-4), Special Issue on Deployed User Modeling, 209-249.

    Article  Google Scholar 

  • Fridman-Noy, N. and McGuinness, D. (2001) Ontology Development 101: A Guide to Creating Your First Ontology’. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880, March 2001.

  • Gmytrasiewicz, P., Noh, S. and Kellogg, T. (1998) Bayesian Update of Recursive User Models, User Modeling and User Adapted Interaction, 8(1-2), 49-69.

    Article  Google Scholar 

  • Greer, J., McCalla, G., Cooke, J., Collins, J., Kumar, V., Bishop, A. and Vassileva, J. (1998) The Intelligent HelpDesk: Supporting Peer Help in aUni versity Course, Proceedings Intelligent Tutoring Systems ITS’98, San Antonio, TX, LNCS No1452, Springer Verlag: Berlin pp. 494-503.

    Google Scholar 

  • Greer, J., McCalla, G., Vassileva, J., Deters, R., Bull, S. and Kettel, L. (2001) Lessons Learned in Deploying a Multi-Agent Learning Support System: The I-Help Experience. Proceedings International AI and Education Conference AIED’2001, San Antonio, IOS Press: Amsterdam, 410-421.

    Google Scholar 

  • Jameson, A., Kipper, B., Ndiaye, A., SchRfer, R., Simons, J., Weis, T. and Zimmermann, D. (1994) Cooperating to Be Noncooperative: The Dialog System PRACMA, In: B. Nebel and L. Dreschler-Fischer (eds.), KI-94:Adva nces in artificial intelligence. Springer-Verlag: Berlin, 106-117.

    Google Scholar 

  • Kay, J. (1997) Learner Know Thyself: Student Models to give Learner Control and Responsibility, in Z. Halim, T. Ottmann and Z. Razak (eds.), Proceedings International Conference on Computers in Education ICCE’97, AACE: Charlottesville, 18-26.

  • Kay, J. (1999) A Scrutable User Modeling Shell for User-Adapted Interaction. Ph.D. Thesis, Basser Department of Computer Science, University of Sydney, Sydney, Australia.

    Google Scholar 

  • Kelly, S. and Jones, M. (2001) Groupware and the Social Infrastructure of Communication, Communications of the ACM, 44 (12), 77-79.

    Google Scholar 

  • Kobsa, A. (2001a) Generic User Modeling Systems, User Modeling and User Adapted Interaction, 11, 49-63.

    Article  Google Scholar 

  • Kobsa, A. (2001b) Tailoring Privacy to Users Needs (Invited Keynote). In: M. Bauer, P. J. Gmytrasiewicz and J. Vassileva (eds.): User Modeling 2001:8th International Conference UM2001, Berlin-Heidelberg: Springer-Verlag, 303-313.

    Google Scholar 

  • Kono, Y., Ikeda, M. and Mizoguchi, R. (1994) THEMIS: a non-monotonic inductive student modeling system. International Journal of AI and Education, 5 (3), 371-413.

    Google Scholar 

  • Kostuik, K. and Vassileva, J. (1999) Free Market Control for a Multi-Agent Based Peer Help Environment, in Proceedings of the Workshop on Agents for Electronic Commerce and Managing the Internet-Enabled Supply Chain, held in association with the 3rd International Conference on Autonomous Agents’99, Seatle, May1-5, 1999.

  • Maes, P. (1994) Agents that ReduceWork and Information Overload, Communications of the ACM, 37 (7), 31-40.

    Article  Google Scholar 

  • McCalla, G., Vassileva, J., Greer, J. and Bull, S. (2000) Active Learner Modeling, In:G. Gauthier, C. Frasson and K. VanLehn (eds.), Intelligent Tutoring Systems, Proceedings ITS’2000, Springer-Verlag, Berlin Heidelberg, 53-62.

    Google Scholar 

  • Mudgal, C., Vassileva, J. (2000) An Influence Diagram Model for Multi-Agent Negotiation, Proceedings Cooperative Information Agents CIA’2000, M. Klusch and L. Kerschberg (Eds.) Springer-Verlag: Berlin Heidelberg, LNAI 1860, 107-118.

    Google Scholar 

  • Munro, A., Hook, K., Benyon, D. (Eds.) (1999) Social Navigation of Information Space, Springer-Verlag: Berlin-New York.

    Google Scholar 

  • Paiva, A., Self, J. and Hartley, R. (1995) Externalising Learner Models, In: J. Greer (ed), Proceedings World Conference on AI in Education AIED’95, AACE: Charlottesville, 509-516.

    Google Scholar 

  • Raymond, E. (1999) Homesteading the Noosphere, The Cathedral and the Bazaar: Musings on Linux and Open Source by an Accidental Revolutionary, O’Reilly & Associates. http://www.tuxedo.org/~esr/writings

  • Rich, E. (1983) Users are Individuals: Individualizing User Models, International Journal of Man-Machine Studies, 18, 199-214.

    Google Scholar 

  • Schreck, J. (2001) Security and Privacy in User Modeling. Ph.D. Thesis,Dept. of Mathematicsand Computer Science, University of Essen, Germany, 2001.

    Google Scholar 

  • Suryadi, D. and Gmytrasiewicz, P. (1999) Learning Models of Other Agents using InfluenceDiagrams, in Proceedings 7th International Conference on User Modeling UM’99,Springer: Wien-New York, 223-232.

    Google Scholar 

  • Sycara, K. (1988) Resolving goal conflicts via Negotiation in Proceedings 7th National Conferenceon Artificial Intelligence (AAAI-88), St. Paul. MN, August 1988.

  • Terveen, L. G. and Hill, W. C. (1998) Evaluating Emergent Collaboration on the Web, inProceedings of the International Conference on Computer-Supported CollaborativeWorkCSCW’98 (Seattle WA, November 1998), ACM Press, 355-362.

  • Vassileva, J. (1998) Goal-Based Autonomous Social Agents Supporting Adaptation andTeaching in a Distributed Environment, In: Goetl, B., Halff, H., Redfield, C. and Shute, V. (eds.) Proceedings of Intelligent Tutoring Systems ITS’98, San Antonio, LNCSNo1452, Springer Verlag: Berlin, pp. 564-573.

    Google Scholar 

  • Vassileva, J., Greer, J., McCalla, G., Deters, R., Zapata, D., Mudgal, C. and Grant, S. (1999)A Multi-Agent Approach to the Design of Peer-Help Environments, In: S. Lajoie and M. Vivet (eds.) Artificial Intelligence and Education, IOS Press: Amsterdam, 38-45.

    Google Scholar 

  • Winter, M. (1999) The Role of Trust and Security Mechanisms in an Agent-Based Peer-HelpEnvironment, Autonomous Agents 99, Workshop on Deception, Trust, and Fraud inAgent Societies, Seattle WA, 139-149.

  • Yimam, S. and Kobsa, A. (2000) Centralization vs. Decentralization Issues in Internet-BasedKnowledge Management Systems: Experiences from Expert Recommender Systems.Workshop on Organizational and Technical Issues in the Tension Between Centralized and Decentralized Applications on the Internet (TWIST2000). University of California Software Research Institute, Irvine. http://www.ics.uci.edu/~kobsa/papers/2000-TWIST-kobsa.pdf

  • Zapata-Rivera, J. D. and Greer, J. (2000) Inspecting and Visualizing Distributed BayesianStudent Models, In: G. Gauthier, C. Frasson and K. VanLehn (eds.), Intelligent TutoringSystems, Proceedings ITS’2000, Springer-Verlag, Berlin Heidelberg, LNSC 1839, 544-553.

    Google Scholar 

  • Zheng, D. and Sycara, K. (1997) Benefits of Learning in Negotiation, in Proceedings ofFifteenth National Conference on Artificial Intelligence, 36-41.

  • Zlotkin, G. and Rosenschein, J. (1991) Cooperation and Conflict Resolution via Negotiationamong Autonomous Agents in Non Cooperative Domains. IEEE Transactions onSystems, Man and Cybernetics, 21 (6): 1317-1333.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science Department, University of Saskatchewan, Saskatoon, S7N 5A9, Canada

    Julita Vassileva, Gordon McCalla & Jim Greer

Authors
  1. Julita Vassileva
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gordon McCalla
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jim Greer
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Vassileva, J., McCalla, G. & Greer, J. Multi-Agent Multi-User Modeling in I-Help. User Model User-Adap Inter 13, 179–210 (2003). https://doi.org/10.1023/A:1024072706526

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1024072706526

Search

Navigation