Information Technology Reference
In-Depth Information
Trustfulness
.29
External Factors
Internal Factors
.5
.5
.08
.5
.5
Opportunity
.6
Danger
0.2
.8
Ability
.04
.28
1.0
.42
.5
.5
.5
Unharmfulness
.5
.5
.5
.5
.0
.0
.5
.5
.12
.0
.5
.5
.5
.0
Availability
DE
DE
.0
DE
.0
.3
.5
C
.6
.0
.0
.5
.5
O/R
.42
.5
O/R
C
.0
.2
C
R
R
O/R
.0
.3
.3
O/R
R
.5
DE
R
.5
.0
.5
C
.5
.0
.0
.6
DE
O/R
.0
C
R
Figure 11.8
Emergence Visit FCMs for the Machine. (Reproduced with kind permission of Springer
Science+Business Media
C
2003)
FCMs not only show the overall trustfulness value, but also the values of each belief. We can
fix a threshold for one or more features and inhibit a choice even if trustfulness is acceptable
(i.e. 'I trust him, but the danger is too high'). In addition, the final function for decision has
to also take into account the costs for each decision choice. In the present analysis we do not
consider here these additional factors.
11.12.4 Experimental Discussion
The two scenarios try to take into account all the relevant factors for trustfulness: beliefs
sources, basic beliefs and their causal power. Moreover, FCMs allow experimentation of
changes in values due to different personalities.
As already specified, belief sources are figured values, possibly derived from inner FCMs
where many beliefs play their role. We have assumed four types of beliefs sources, but for
many of them, we give no values. We have set all their causal power to
middle causality
(
0.5)
in order to let them be 'neutral' in the experiments. Some different personalities can augment
or reduce the values (e.g.: somebody who cares only about his own experience may assign a
strong causal power to the corresponding edges).
Basic beliefs, both internal and external, are the core of the analysis; we have expanded
our model (see Chapters 2 and 3 in this topic) by representing and quantifying the different
+
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