AI Article Synopsis
- Emotions are crucial for internal regulation, influencing cognitive processes, attention, and self-assessment.
- Novelty detection connects sensorimotor experiences with higher-level emotional appraisals, while self-assessment can trigger feelings like boredom and frustration.
- The study introduces 'Emotional Metacontrol', a model using artificial neural networks to enhance robotic performance in visual tasks by optimizing attention through emotional feedback.
Article Abstract
Emotions play a significant role in internal regulatory processes. In this paper, we advocate four key ideas. First, novelty detection can be grounded in the sensorimotor experience and allow higher order appraisal. Second, cognitive processes, such as those involved in self-assessment, influence emotional states by eliciting affects like boredom and frustration. Third, emotional processes such as those triggered by self-assessment influence attentional processes. Last, close emotion-cognition interactions implement an efficient feedback loop for the purpose of top-down behavior regulation. The latter is what we call 'Emotional Metacontrol'. We introduce a model based on artificial neural networks. This architecture is used to control a robotic system in a visual search task. The emotional metacontrol intervenes to bias the robot visual attention during active object recognition. Through a behavioral and statistical analysis, we show that this mechanism increases the robot performance and fosters the exploratory behavior to avoid deadlocks.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608313 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0184960 | PLOS |
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Article Synopsis
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- Novelty detection connects sensorimotor experiences with higher-level emotional appraisals, while self-assessment can trigger feelings like boredom and frustration.
- The study introduces 'Emotional Metacontrol', a model using artificial neural networks to enhance robotic performance in visual tasks by optimizing attention through emotional feedback.
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