University of Bristol,
Abstract:
User modelling is fast becoming a major topic for commercial and academic research. A major problem in user modelling is in categorising a new user into known user classes. In this paper we consider user classification as a recognition problem where a new user is an uncertain object of undetermined class and we must determine the membership of the object in each of a number of prototypical user classes. The temporal nature of user behaviour suggests a belief updating approach to user recognition. We examine the FILUM approach to user recognition and present a more generalised model. We compare the generalised FILUM model to a new interval support version of Einhorn and Hogarth’s anchor and adjustment belief updating approach. We present an example using the iterated prisoner’s dilemma problem implemented in the Fril++ object oriented uncertain logic programming language. I.
Citations
| 34 | Order effects in belief updating: The belief-adjustment model – Hogarth, Einhorn - 1992 |
| 10 | Ambiguity and uncertainty in probabilistic inference – Einhorn, Hogarth - 1985 |
| 7 | Efficient Algorithms for Semantic Unification – Baldwin, Lawry, et al. - 1996 |
| 6 | T.P.Martin, “Fuzzy classes in object-oriented logic programming – Baldwin - 1996 |
| 5 | T.H.Cao and T.P.Martin and J.M.Rossiter, “Implementing Fril++ for Uncertain Object-Oriented Logic – Baldwin |
| 4 | T.H.Cao and T.P.Martin and J.M.Rossiter – Baldwin |
| 3 | J.M.Rossiter and T.P.Martin and J.F.Baldwin “Inheritance and recognition in uncertain and fuzzy object-oriented models – Cao |
| 3 | T.H.Cao and T.P.Martin and J.F.Baldwin “A Fril++ Compiler for Soft Computing Object-Oriented Logic – Rossiter |
