Constraints
We consider three different types of query constraints; a single
event constraint P(y1|ε),
a two events difference
constraint P(y1|ε)
- P(y2|ε) and a two events ratio
constraint
P(y1|ε)
/ P(y2|ε). For each type of
constraint, we
may consider =, <= and >= relations compared to a value x ∈ R.
We assume the constants of the sensitivity functions involved have been
identified such that: f(t) = α *
t + β / γ * t +
δ and the evidence set ε to be constant.
To identify the required adjustment for the parameter t to satisfy a
constraint, we solve three equations with respect to equality:
- Single event constraint : x = P(y1|ε).
- Two events difference constraint : x = P(y1|ε) -
P(y2|ε) = (α1
*
t + β1 / γ *
t +
δ) - (α2 *
t + β2 / γ *
t +
δ).
- Two events ratio constraint : x = P(y1|ε) /
P(y2|ε) = (α1 *
t + β1 / γ *
t +
δ) / (α2 *
t + β2 / γ *
t +
δ).
Part of the Parameter Sensitivity Wizard is the Query Constraints Panel. The
purpose of this panel is to offer the user the ability to specify constraints
on the posterior probability in the hypothesis and find the smallest change
necessary to satisfy it. In Figure 1 the "asia_.net" network is loaded and a
constraint is specified for the posterior probability of "Has tuberculosis".
The current belief for Has tuberculosis = yes is 0.1 and we would like it to be
0.11. After pressing the "Compute" button the tool returns a list of changes
that could be made to satisfy the constraint. When selecting one of these
suggestions, the buttons "Edit" and "Adopt" become enabled allowing the user to
apply the changes.
|
Figure 1:: Constraints Panel |
The constraints panel consists of the following elements:
- The input
panel is where
the user can select the hypothesis nodes and their states and specify
constraints to their posterior probabilities.
- The results
table is a
list of suggested changes to values in CPT tables, that the tool has
computed and can satisfy the constraints.
- The cases
panel is where the user can load a case file corresponding to the
current domain, and select and insert a case in the domain.
There are three ways to specify constraints in the input panel; one
event constraint, two event Ratio constraints and two event difference
constraints. To specify a one event constraint, select a hypothesis node
from the "Variable 1" combo box and then one of its states from
the state combo box. The belief for the selected state is shown to the
right.
Figure 2: The input panel where
one event constraint is specified.
To specify two event constraints the "Two Events" check box should be
selected. The optional panel becomes enabled and allows the selection
of the type of the two event constraint (ratio or difference) and
the selection of the second Hypothesis node (Variable 2).
The next step is to input the constraints in the constraint fields
(Constraint 1, Constraint2). It is possible to specify one or two
constraints ("<= con1 and >= con2"). When specifying one
constraint the Constraint 2 field is automatically set to Infinity
(Figure 3) or -Infinity (Figure 4) according to comparison symbol
selected in the Constraint 1 combo box.
Figure 3: One constraint,
greater equal
Figure 4: One Constraint, less
equal
The computation of the suggested changes
that could be made to satisfy the specified constraints, is triggered
by pressing the "Compute" button or pressing Enter, while editing in
one of the two constraint fields.
The results table (Figure 5) displays suggested changes that can be
made to certain cpt tables to satisfy the constraints. Each row
describes one suggestion with the following columns:
- The Parameter column describes the posterior probability that needs to be changed.
- The current value is the value of the cpt index.
- The suggested value column shows a range of values that can
replace the current value in order for the constraints to be satisfied.
The value displayed in bold, indicates the smallest absolute change
within the suggested values range.
- The absolute change is a range of values that represent
the absolute difference between the suggested value and the current
value. (| Current - suggested |). The value displayed in bold
represents the
absolute change for the suggested value displayed in bold.
- If q is the new value and p is the current value, the Log Odds
Change is defined as follows: | log(q/(1-q)) - log(p/(1-p)) | . The
value displayed in bold, indicates the smallest log odds change within
the suggested values range.
Figure 5: A table showing the
suggested changes that could satisfy the constraints
Every column can be sorted by clicking on its header once (ascending
order) or twice (descending order). Every cell in a column other than
the Parameter column, is colored with a variation of the blue color
that represents the actual value. In case of a range of values, the
color represents the one displayed in bold. The color variation and the
sorting function make it easier to select the suggested change with
the smallest absolute or log odds change.
When selecting a row, the "Edit" and "Adopt" buttons are enabled
(Figure 6).
Figure 6
When pressing "Edit" a dialog with the selected cpt table is displayed
allowing the user to manually apply the change selected in the results
table. If the first row in the results table is selected the
dialog in Figure 7 is displayed and the user can change the value 0.3
(smoker = no) to a value between 0.39907 and 0.708908.
Figure 7: CPT for "Has
bronchitis"
When pressing "Adopt", the selected change is automatically applied
and the value displayed in bold is used as it represents the smallest
change.
After applying constraints in the domain the effects of the changes
made can be seen in the "Parameter
Sensitivity Panel".
Back