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Artif Intell Rev DOI 10.1007/s10462-007-9024-7
 

Summary: Artif Intell Rev
DOI 10.1007/s10462-007-9024-7
Using knowledge partitioning to investigate
the psychological plausibility of mixtures of experts
Sébastien Hélie · Gyslain Giguère · Denis Cousineau ·
Robert Proulx
© Springer Science+Business Media B.V. 2007
Abstract Over the years, the presence of knowledge partitioning (KP) in human function
learning data has been used to argue that mixture-of-experts models (MOE) constitute a
psychologically plausible explanation of human performance, and that the experts used by
humans are always linear. These claims recently led to the proposition of the population of
linear experts model (POLE). In this paper, variations of the firefighting paradigm devel-
oped by Lewandowsky and his colleagues, which initiated research about KP, were used to
explore the psychological plausibility of MOE in general and POLE in particular. In a first
experiment, these statements were tested by modifying the test display of the firefighting
paradigm. The results showed that adding irrelevant information to the display resulted in
a smaller proportion of partitioning participants. Also, some participants used non-linear
experts to partition the stimulus space. This new type of KP was further explored in a second
study, which included more training sessions. The results suggest that linear KP disappears
with practice and that non-linear partitioning reflects the incapacity to correctly estimate

  

Source: Ashby, F. Gregory - Department of Psychology, University of California at Santa Barbara

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences