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Guidelines for Designing Computational Models of Emotions

机译：设计情感计算模型的准则

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Rapid growth in computational modeling of emotion and cognitive-affective architectures occurred over the past 15 years. Emotion models and architectures are built to elucidate the mechanisms of emotions and enhance believability and effectiveness of synthetic agents and robots. Despite the many emotion models developed to date, a lack of consistency and clarity regarding what exactly it means to 'model emotions 'persists. There are no systematic guidelines for development of computational models of emotions. This paper deconstructs the often vague term 'emotion modeling'by suggesting the view of emotion models in terms of two fundamental categories of processes: emotion generation and emotion effects. Computational tasks necessary to implement these processes are also identified. The paper addresses how computational building blocks provide a basis for the development of more systematic guidelines for affective model development. The paper concludes with a description of an affective requirements analysis and design process for developing affective computational models in agent architectures.
机译：在过去的15年中，情感和认知情感架构的计算模型迅速增长。建立情感模型和架构是为了阐明情感机制，并增强合成代理和机器人的可信度和有效性。尽管迄今为止已经开发了许多情感模型，但是对于“建模情感”持久性到底意味着什么缺乏一致性和清晰性。没有开发情绪计算模型的系统指南。本文通过从两个基本类别的过程中提出情感模型的观点：情感产生和情感效果，来解构通常模糊的术语“情感建模”。还确定了执行这些过程所需的计算任务。本文介绍了计算构建块如何为情感模型开发的更系统的准则的开发提供基础。本文以对情感需求分析和设计过程的描述作为结束，该情感需求分析和设计过程用于在Agent体系结构中开发情感计算模型。

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