More than a decade has passed since the development of FearNot!, an application designed to help children deal with bullying through role-playing with virtual characters. It was also the application that led to the creation of FAtiMA, an affective agent architecture for creating autonomous characters that can evoke empathic responses. In this paper, we describe FAtiMA Toolkit, a collection of open-source tools that is designed to help researchers, game developers and roboticists incorporate a computational model of emotion and decision-making in their work. The toolkit was developed with the goal of making FAtiMA more accessible, easier to incorporate into different projects and more flexible in its capabilities for human-agent interaction, based upon the experience gathered over the years across different virtual environments and human-robot interaction scenarios. As a result, this work makes several different contributions to the field of Agent-Based Architectures. More precisely, FAtiMA Toolkit's library based design allows developers to easily integrate it with other frameworks, its meta-cognitive model affords different internal reasoners and affective components and its explicit dialogue structure gives control to the author even within highly complex scenarios. To demonstrate the use of FAtiMA Toolkit, several different use cases where the toolkit was successfully applied are described and discussed.

中文翻译：

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FAtiMA Toolkit-致力于开发一种有效且可访问的工具来开发智能虚拟代理和社交机器人

自FearNot！开发以来，已经过去了十多年，该应用程序旨在通过虚拟角色扮演来帮助儿童应对欺凌行为。也是导致FAtiMA创建的应用程序，FAtiMA是一种情感代理架构，用于创建可以引起移情反应的自主角色。在本文中，我们描述了FAtiMA Toolkit，这是一个开放源代码工具集合，旨在帮助研究人员，游戏开发人员和机器人专家将情感和决策制定的计算模型纳入他们的工作。开发该工具包的目的是使FAtiMA更易于访问，更易于集成到不同的项目中，并使其在人与人之间的交互功能上更具灵活性，基于多年来在不同虚拟环境和人机交互场景中收集的经验。结果，这项工作对基于代理的体系结构领域做出了许多不同的贡献。更准确地说，FAtiMA Toolkit基于库的设计使开发人员可以轻松地将其与其他框架集成，其元认知模型提供了不同的内部推理器和情感组件，其显式对话结构甚至在高度复杂的场景中也为作者提供了控制权。为了演示FAtiMA Toolkit的使用，描述并讨论了成功使用该工具包的几种不同用例。基于库的设计使开发人员可以轻松地将其与其他框架集成，其元认知模型提供了不同的内部推理器和情感组件，其明确的对话结构甚至在高度复杂的场景中也为作者提供了控制权。为了演示FAtiMA Toolkit的使用，描述并讨论了成功使用该工具包的几种不同用例。基于库的设计使开发人员可以轻松地将其与其他框架集成，其元认知模型提供了不同的内部推理器和情感组件，其明确的对话结构甚至在高度复杂的场景中也为作者提供了控制权。为了演示FAtiMA Toolkit的使用，描述并讨论了成功使用该工具包的几种不同用例。