Abstract
We describe a novel inference method to help us deal with the problem of having sparse information about the user. The information we will have available for the user will form his/her model. That model will be represented in a conceptual graph format. We will also have gathered information about categories of users that share characteristics, preferences and interests. These will form the ”prototypes”, as we call them and will be represented in graphs as well. Because we will know significantly more about the prototypes, they will be the source where we will try to get the information we want for the user. This method has been implemented in FRIL [2, 3, 10].
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References
Baldwin, J.F.: Probabilistic, Fuzzy and Evidential Reasoning in Fril. In: Proc. Two ecades of Fuzzy Control, pp. 1–20. IEE, London (1993)
Baldwin, J.F., Martin, T.P., Pilsworth, B.W.: FRIL - Fuzzy and Evidential Reasoning in AI. Research Studies Press, John Wiley (1995)
Baldwin, J.F., Martin, T.P., Pilsworth, B.W.: FRIL Manual. Fril Systems Ltd., Bristol Business Centre, Maggs House, Queens Road, Bristol, BS8 1QX, UK (1988)
Baldwin, J.F., Morton, S.K.: Conceptual Graphs and Fuzzy Qualifiers in Natural Language Interfaces. Research Report ITRC-85, University of Bristol (1985)
Baldwin, J.F.: A Theory of Mass Assignments for Artificial Intelligence. In: Driankov, D., Eklund, P.W., Ralescu, A.L. (eds.) Fuzzy Logic and Fuzzy Control (1991)
Bradley, L., Walker, G., McGrath, A.: Shared Spaces. British Telecommunications Engineering Journal 15 (1996)
Davies, N.J., Weeks, R., Revett, M.C.: An Information Agent for WWW. In: Proc. Int. Conf. On WorldWideWeb, Boston, USA (1995)
Davies, N.J., Weeks, R., Revett, M.C.: Jasper: Communicating Information Agents for WWW. In: Proc. Int. Conf. On WorldWideWeb, Boston, USA (1995)
Kobsa, A.: User Modeling: Recent work, prospects and hazards. In: Schneider- Hufschmidt, M., Kuhme, T., Malinowski, U. (eds.) Adaptive User Interfaces: Principles and Practice, pp. 111–128. Elsevier Science Publishers B.V., Amsterdam (1993)
Martin, T.P., Arcelli Fontana, F.: Logic Programming and Soft Computing. Research Studies Press/ Wiley (1998)
McGrath, A.: The Forum. SIGGROUP Bulletin 19(3) (1998)
McTear, M.: User modelling for adaptive computer systems: A survey of recent developments. Artificial Intelligence Review 7, 157–184 (1993)
Nwana, H.S.: Software Agents: an overview. The Knowledge Engineering Review 11(3), 205–244 (1996)
Rich, E.: User Modeling via Stereotypes. Cognitive Science 3, 329–354 (1979)
Sowa, J.F.: Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, Massachusetts (1984)
Wooldridge, M., Jennings, N.: Intelligent Agents: Theory and Practice. The Knowledge Engineering Review 10(2), 115–152 (1995)
Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338–353 (1965)
BT Labs - The Forum, http://www.bt.com/innovation/exhibition/forum/index.htm
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Baldwin, J.F., Martin, T.P., Tzanavari, A. (2000). User Modelling Using Conceptual Graphs for Intelligent Agents. In: Ganter, B., Mineau, G.W. (eds) Conceptual Structures: Logical, Linguistic, and Computational Issues. ICCS 2000. Lecture Notes in Computer Science(), vol 1867. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10722280_13
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DOI: https://doi.org/10.1007/10722280_13
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