Abstract
The output of advice-giving systems can be regarded as plans to be executed by the user. Such plans are fairly useless if the user is not capable of executing some of the involved plan steps, or if he does not know them. We propose a two-phase process of user-tailored plan generation and plan presentation to produce advice that enables a user to reach his goals. This paper reports the first phase, the generation of a plan under the constraints of the user’s capabilities. The capabilities are represented as a hierarchy of plan concepts. System assumptions about user capabilities form a part of the user model, but are separate from assumptions about the user’s knowledge, goals etc. With this representation, we can re-use the techniques for collecting assumptions about the user’s conceptual knowledge for inferring his capabilities as well. We show an example of plan generation for users with different capabilities.
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References
Bauer, M. (1996). Acquisition of user preferences for plan recognition. In Proceedings of 5th International Conference on User Modeling, Kailua-Kona, HI, 105–112.
Brachman, R., and Schmolze, J. (1985). An overview of the KL-ONE knowledge representation system. Cognitive Science 9:171–216.
Breuker, J., ed. (1990). EUROHELP: Developing Intelligent Help Systems. EC, Kopenhagen.
Bylander, T. (1991). Complexity results for planning. In Proceedings of 12th International Joint Conference on Artificial Intelligence, Sidney, Australia, 274–279.
Carberry, S. (1990). Plan Recognition in Natural Language Dialogue. MIT Press, Cambridge, MA.
Cohen, P. (1978). On knowing what to say: planning speech acts. Tech.Report 118, Department of Computer Science, University of Toronto, Canada.
Devanbu, P., and Litman, D. (1996). Taxonomic plan reasoning. Artificial Intelligence84:1–35.
Erol, K., Hendler, J., and Nau, D. (1994). Semantics for hierarchical task-network planning. Tech.Report CS-TR-3239, Computer Science Dept., University of Maryland.
Erol, K., Nau, D., and Subrahmanian, V. (1995). Complexity, decidability and undecidability results for domain-independent planning. Artificial Intelligence76:75–88.
Horacek, H. (1997). A model for adapting explanations to the user’s likely inferences. User Modeling and User-Adapted Interaction7:1–55.
Kautz, H. (1991). A formal theory of plan recognition and its implementation. In Reasoning about Plans, Allen, Kautz, Pelavin, and Tenenberg, eds., Kaufmann, San Mateo, CA. 69–126.
Kobsa, A. (1991). Utilizing knowledge: the components of the SB-ONE knowledge representation workbench. In Principles of Semantic Networks, Sowa, J., ed., Kaufmann, San Mateo, CA. 457–486.
Kobsa, A., Müller, D., and Nill, A. (1994). KN-AHS: an adaptive hypertext client of the user modeling system BGP-MS. Proceedings of the 4th International Conference on User Modeling, Hyannis, MA, 99–105.
Kobsa, A., and Pohl, W. (1995). The BGP-MS user modeling system. User Modeling and User-Adapted Interaction4:59–106.
McCoy, K. (1989). Generating context-sensitive responses to object-related misconceptions. Artificial Intelligence41:151–195.
McDermott, D., and Hendler, J. (1995). Planning: what it is, what it could be. Artificial Intelligence76:1–16.
Penberthy, J., and Weld, D. (1992). UCPOP: A sound, complete, partial order planner for ADL. In Principles of Knowledge Representation and Reasoning- Proceedings of the 3rd International Conference KR’92, Cambridge, MA, 103–114.
Pohl, W., and Höhle, J. (1997). Mechanisms for flexible representation and use of knowledge in user modeling shell systems. In User Modeling: Proceedings of the 6th International Conference, UM97, Chia Laguna, Italy, 403–414.
Russell, S., and Norvig, P. (1995). Artificial Intelligence: A Modern Approach. Prentice Hall, Upper Saddle, River, NJ.
Sacerdoti, E. (1977). A Structure for Plans and Behavior. Elsevier/North-Holland, Amsterdam, London, New York.
Sarner, M., and Carberry, S. (1992). Generating tailored definitions using a multifaceted user model. User Modeling and User-Adapted Interaction2:181–210.
Sleeman, D. (1985). UMFE: A user modelling front-end subsystem. International Journal of Man-Machine Studies23:71–88.
Weida, R., and Litman, D. (1992). Terminological reasoning with constraint networks and an application to plan recognition. In Principles of Knowledge Representation and Reasoning — Proceedings of the 3rd International Conference KR’92, Cambridge, MA, 282–293.
Weld, D. (1994). An introduction to least commitment planning. Al Magazine4:27–61.
Young, M. (1996). Using plan reasoning in the generation of plan descriptions. In Proceedings of 13th National Conference on Artificial Intelligence, Portland, OR, 1075–1080.
Zukerman, I., and McConachy, R. (1993). Generating concise discourse that addresses a user’s inferences. In Proceedings of 13th International Joint Conference on Artificial Intelligence, Chambery, France, 1202–1207.
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Küpper, D., Kobsa, A. (1999). User-Tailored Plan Generation. In: Kay, J. (eds) UM99 User Modeling. CISM International Centre for Mechanical Sciences, vol 407. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2490-1_5
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DOI: https://doi.org/10.1007/978-3-7091-2490-1_5
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83151-9
Online ISBN: 978-3-7091-2490-1
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