Simulating A ect-Biased Attention in Active Inference
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2021-06-25
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en
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Abstract
Following a recent challenge to the active inference account, we investigate
in this paper whether it can reproduce a ect-biased attention. To do so,
we built a single-layer predictive processing agent. By introducing a highly
negative, but unlikely stimulus at some point during the simulation, we
measured whether and how the agent would alter its behavior in order to
avoid that unpleasant event in the future. Additionally, we explored how
this change depended on the level of sensory modalities, the amount of
experience, or the salience of the encounter. Our results show evidence for
such long-term changes in behavior, which opens up the road for future
research to extend our ndings to more complete models of attention.
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Faculteit der Sociale Wetenschappen