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On Realizing a Multi-Agent Emotion Engine

机译：关于实现多主体情感引擎

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Emotions have always been a complex phenomenon and research on their causes and effects have been fraught with debates. Though a reasonable and unified theory seems lacking, there have been many attempts at building models that emote. This paper describes a multi-agent approach that aids robot emotion. Emotions are grounded on percepts from sensors and generated by dedicated emotion agents that work concurrently with others - the positive suppressing the negative and vice versa while stimulating their own kinds. Each agent forms a metaphor of an emotion-generating entity that has a replenishing capability. Both the replenishing of an emotion resource and the sampling of the environment are based on fuzzy logic. Sampling of the percepts from the sensors is based on an adrenaline-like effect. Stimulations, suppressions, emotion resource, and a look-back before decay feature embed a deep and dynamic emotional milieu into a machine. The paper presents and discusses how three emotions churned from percepts gathered by a robot act as an emotional control juice capable of governing the manner of its motion along a path.
机译：情绪一直是一个复杂的现象，关于其因果关系的研究充满了争论。尽管似乎缺乏合理和统一的理论，但已经进行了许多尝试来构建可表达的模型的尝试。本文描述了一种有助于机器人情绪的多主体方法。情感基于来自传感器的感知，并由与其他人同时工作的专用情感代理生成-积极抑制消极，反之亦然，同时刺激自己的情感。每个主体形成一个具有补充能力的情感产生实体的隐喻。情感资源的补充和环境的采样均基于模糊逻辑。来自传感器的感知采样是基于肾上腺素样效应。刺激，抑制，情感资源以及衰变前的回顾功能将深刻而动态的情感环境嵌入到机器中。本文介绍并讨论了从机器人收集的知觉中激发出的三种情绪如何作为一种情绪控制汁液，能够控制其沿着路径的运动方式。

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