Abstract
Work in the field of mixed-initiative interaction [1, 2, 3] suggests a more flexible approach to the reasoning process in artificial intelligence systems. In a mixed-initiative system, both the computer and the user can play an active role in a problem-solving session. At any given time, either party might take control of a session. The primary goal behind a mixed-initiative system is to take advantage of the fact that computers and people have very different strengths when it comes to solving problems.
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References
Haller, S., McRoy, S. (eds.): Papers from the 1997 AAAI Symposium on Computational Models for Mixed Initiative Interaction. AAAI Press, Menlo Park (1997)
Cox, M. (ed.): Proceedings of the 1999 AAAI Workshop on Mixed-Initiative Intelligence. AAAI Press, Menlo Park (1999)
Haller, S., Kobsa, A., McRoy, S. (eds.): Computational Models of Mixed-Initiative Interaction. Kluwer Academic Publishers, Dordrecht (1999)
Fleming, M.: Reasoning about interaction in mixed-initiative artificial intelligence systems. Technical report, University of Waterloo Ph. D. thesis (2003)
Rich, E.: Stereotypes and user modelling. In: Kobsa, A., Wahlster, W. (eds.) User Models in Dialog Systems, Springer, Heidelberg (1989)
Chin, D.N.: KNOME: Modeling what the user knows in UC. In: Kobsa, A., Wahlster, W. (eds.) User Models in Dialog Systems, pp. 74–107. Springer, Heidelberg (1989)
Vassileva, J., McCalla, G., Greer, J.: Multi-agent multi-user modeling in I-Help. User Modeling and User-Adapted Interaction 13, 179–210 (2003)
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Fleming, M. (2004). The Use of Increasingly Specific User Models in the Design of Mixed-Initiative Systems. In: Tawfik, A.Y., Goodwin, S.D. (eds) Advances in Artificial Intelligence. Canadian AI 2004. Lecture Notes in Computer Science(), vol 3060. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24840-8_33
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DOI: https://doi.org/10.1007/978-3-540-24840-8_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22004-6
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