Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.5555/3036846.3036856guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

TRAINS-95: towards a mixed-initiative planning assistant

Published: 29 May 1996 Publication History

Abstract

We have been examining mixed-initiative planning systems in the context of command and control or logistical overview situations. In such environments, the human and the computer must work together in a very tightly coupled way to solve problems that neither alone could manage. In this paper, we describe our implementation of a prototype version of such a system, TRAINS-95, which helps a manager solve routing problems in a simple transportation domain. Interestingly perhaps, traditional planning technology does not play a major role in the system, and in fact it is difficult to see how such components might fit into a mixed-initiative system. We describe some of these issues, and present our agenda for future research into mixed-initiative plan reasoning. At this writing, the TRAINS-95 system has been used by more than 100 people to solve simple problems at various conferences and workshops, and in our experiments.

References

[1]
Allen, J. F.; Schubert, L. K.; Ferguson, G.; Heeman, P.; Hwang, C. H.; Kato, T.; Light, M.; Martin, N. G.; Miller, B. W.; Poesio, M.; and Traum, D. R. 1995. The TRAINS project: A case study in building a conversational planning agent. Journal of Experimental and Theoretical AI 7:7-48. Also available as University of Rochester, Dept. of Computer Science TRAINS Technical Note 94-3.
[2]
Allen, J. F.; Miller, B.; Ringger, E. K.; and Sikorski, T. 1996. Robust understanding in a dialogue system. Submitted for publication.
[3]
Allen, J. F. 1994. Natural Language Understanding. Benjamin Cummings, 2nd edition edition.
[4]
Ferguson, G. 1995. Knowledge Representation and Reasoning for Mixed-Initiative Planning. Ph.D. Dissertation, Department of Computer Science, University of Rochester, Rochester, NY. Available as Technical Report 562.
[5]
Finin, T.; Fritzson, R.; McKay, D.; and McEntire, R. 1994. KQML as an agent communication language. In Proc. Third International Conference on Information and Knowledge Management (CIKM-94). ACM Press.
[6]
Heeman, P. A., and Allen, J. F. 1995. The TRAINS-93 dialogues. TRAINS Technical Note 94-2, Dept. of Computer Science, University of Rochester, Rochester, NY.
[7]
Huang, X.; Alleva, F.; Hon, H.-W.; Hwang, M.-Y.; and Rosenfeld, R. 1992. The SPHINX-II speech recognition system: An overview. Technical Report CS-92-112, Carnegie Mellon University, School of Computer Science, Pittsburgh, PA.
[8]
Kambhampati, S., and Hendler, J. A. 1992. A validation-structure-based theory of plan modification and reuse. Artificial Intelligence 55:193-258.
[9]
Kambhampati, S. 1989. Flexible reuse and modification in hierarchical planning: A validation structure based approach. Ph.D. Dissertation, Department of Computer Science, University of Maryland, College Park, MD. Available as CS Technical Report 2334.
[10]
Lambert, L., and Carberry, S. 1991. A tripartite plan-based model of dialogue. In Proc. Twenty-Ninth Annual Meeting of the Association for Computational Linguistics, 47-54. Berkeley, CA: University of California.
[11]
Litman, D., and Allen, J. F. 1987. A plan-recognition model for subdialogues in conversations. Cognitive Science 11(2).
[12]
Pollack, M. E. 1992. The uses of plans. Artificial Intelligence 57.
[13]
Ringger, E. K. 1995. A robust loose coupling for speech recognition and natural language understanding. Technical Report 592, Dept. of Computer Science, University of Rochester, Rochester, NY.
[14]
Sacerdoti, E. 1977. A Structure for Plans and Behaviour. New York, NY: Elsevier, North-Holland.
[15]
Sussman, G.J. 1974. The virtuous nature of bugs. In Proc. First Conference of the Society for the Study of AI and the Simulation of Behaviour. Brighton, UK: Sussex University.
[16]
Tate, A. 1995. The O-Plan knowledge source framework. ARPA/RL O-Plan TR 21, Artifical Intelligence Applications Institute, University of Edinburgh, Edinburgh, UK.

Cited By

View all
  • (2021)Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based DialoguesACM Transactions on Information Systems10.1145/346220739:4(1-28)Online publication date: 17-Aug-2021
  • (2021)Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based ChatbotsACM Transactions on Information Systems10.1145/345318339:4(1-25)Online publication date: 17-Aug-2021
  • (2019)Exploring Interaction with Remote Autonomous Systems using Conversational AgentsProceedings of the 2019 on Designing Interactive Systems Conference10.1145/3322276.3322318(1543-1556)Online publication date: 18-Jun-2019
  • Show More Cited By

Index Terms

  1. TRAINS-95: towards a mixed-initiative planning assistant

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image Guide Proceedings
    AIPS'96: Proceedings of the Third International Conference on Artificial Intelligence Planning Systems
    May 1996
    282 pages
    ISBN:0929280970
    • Editor:
    • Brian Drabble

    Sponsors

    • Association for the Advancement of Artificial Intelligence

    Publisher

    AAAI Press

    Publication History

    Published: 29 May 1996

    Qualifiers

    • Article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 09 Nov 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2021)Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based DialoguesACM Transactions on Information Systems10.1145/346220739:4(1-28)Online publication date: 17-Aug-2021
    • (2021)Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based ChatbotsACM Transactions on Information Systems10.1145/345318339:4(1-25)Online publication date: 17-Aug-2021
    • (2019)Exploring Interaction with Remote Autonomous Systems using Conversational AgentsProceedings of the 2019 on Designing Interactive Systems Conference10.1145/3322276.3322318(1543-1556)Online publication date: 18-Jun-2019
    • (2019)Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based ChatbotsProceedings of the Twelfth ACM International Conference on Web Search and Data Mining10.1145/3289600.3290985(267-275)Online publication date: 30-Jan-2019
    • (2019)Adjustable autonomyArtificial Intelligence Review10.1007/s10462-017-9560-851:2(149-186)Online publication date: 1-Feb-2019
    • (2018)Preference-Guided PlanningProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3238024(1921-1923)Online publication date: 9-Jul-2018
    • (2018)ForteProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3174070(1-12)Online publication date: 21-Apr-2018
    • (2017)Collaborative planning with encoding of users' high-level strategiesProceedings of the Thirty-First AAAI Conference on Artificial Intelligence10.5555/3298239.3298379(955-961)Online publication date: 4-Feb-2017
    • (2017)Human-aware plan recognitionProceedings of the Thirty-First AAAI Conference on Artificial Intelligence10.5555/3298023.3298103(3686-3692)Online publication date: 4-Feb-2017
    • (2017)Plan explanations as model reconciliationProceedings of the 26th International Joint Conference on Artificial Intelligence10.5555/3171642.3171666(156-163)Online publication date: 19-Aug-2017
    • Show More Cited By

    View Options

    View options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media