منابع مشابه
Joy, distress, hope, and fear in reinforcement learning
In this paper we present a mapping between joy, distress, hope and fear, and Reinforcement Learning primitives. Joy / distress is a signal that is derived from the RL update signal, while hope/fear is derived from the utility of the current state. Agent-based simulation experiments replicate psychological and behavioral dynamics of emotion including: joy and distress reactions that develop prio...
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In this paper we computationally study the relation between adaptive behavior and emotion. Using the Reinforcement Learning framework, we propose that learned state utility, V(s), models fear (negative) and hope (positive) based on the fact that both signals are about anticipation of loss or gain. Further, we propose that joy/distress is a signal similar to the error signal. We present agent-ba...
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We report on a study that shows plausible emotion dynamics for joy, distress, hope and fear, emerging in an adaptive agent that uses Reinforcement Learning (RL) to adapt to a task. Joy/distress is a signal that is derived from the RL update signal, while hope/fear is derived from the utility of the current state. Agent-based simulation experiments replicate psychological and behavioral dynamics...
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ژورنال
عنوان ژورنال: Annals of Emergency Medicine
سال: 2018
ISSN: 0196-0644
DOI: 10.1016/j.annemergmed.2017.11.005