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The system of state equations established in this paper allows stochastically simulating
the outcome of a debate and effects of a control strategy on this particular issue.
One possible application of this model would obviously be to simulate a debate out-
come in order to obtain certain indications regarding the final collective decision. When
simulations are performed for a large number of initial agent convictions and speaker
intervention rankings, the probability that outcome is
1 can be estimated. Hence, the
dynamic influence model can be applied to either make the debate outcome more certain
(this may appear to be a dishonest method when agents are actual human beings, yet
remains a relevant technique when agents are artificial, such as sensors or classifiers) or
modify the convergence dynamics of the debate.
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References
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