Start Making Sense: Cognitive and affective confidence measures for explanation generation using epistemic planning

开始有意义：使用认知规划进行解释生成的认知和情感置信度测量

• 批准号: EP/R031045/1
• 负责人: Ronald Petrick
• 金额: $ 38.21万
• 依托单位: Heriot-Watt University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR031045%2F1
• 关键词: Start; Making; Sense; Cognitive; affective

Consider a tourist on a walking tour of a city. After reaching a place where they can see they are almost back to the starting point, their tour guide says "Let's go up that hill", pointing to a large hill. "We can get a good view of the city from there." However, on seeing the tired expression on the tourist's face, the guide adds "Or we can stop in that pub over there and take a break." This scenario has two important features: (1) people like to know what is going on. This is especially true in situations where a decision may not have been anticipated or expected. Here, an explanation may be needed not just to justify the decision but also to establish confidence in that choice-in other words, to trust it; (2) being able to read the situation and adapt to the needs of the moment is important when ranking the possible actions that could be taken. Here, a decision may need to be made dynamically. These two features add up to 'dynamic trust maintenance', and are needed for a broad range of the AI systems that are expected to be deployed in the near future, e.g., automated vehicles, service robots, or interactive voice-based assistants.This project addresses the need for dynamic trust maintenance (which is not generally available in interactive and autonomous systems) by bringing together experimental research in cognitive science involving cooperative joint action with the practical construction of AI planning tools to apply to the task of explanation generation. This challenge will be addressed through these concrete objectives: (1) to study cooperative joint action in humans to identify the emotional, affective, or cognitive factors that are essential for successful human communicative goals, (2) to enhance epistemic planning techniques with heuristics derived from the cognitive science studies, and (3) to deploy the resulting system to generate human-like explanations and evaluate the effectiveness of the resulting approach with human participants.

在城市的徒步旅行中考虑游客。在到达一个可以看到他们几乎回到起点的地方后，他们的导游说“让我们爬上那座山”，指着一座大山丘。 “我们可以从那里欣赏城市的美景。”但是，在看到游客脸上疲倦的表情时，该向导添加了“或者我们可以在那儿的那家酒吧停下来休息一下。”这种情况有两个重要特征：（1）人们喜欢知道发生了什么。在可能没有预期或预期的决定的情况下，尤其如此。在这里，可能不仅需要解释来证明这一决定是合理的，而且还需要建立对换句话说的信心，以信任它。 （2）在对可能采取的可能的行动进行排名时，能够阅读情况并适应当下的需求很重要。在这里，可能需要动态做出决定。这两个功能加起来加上“动态信任维护”，并且需要在不久的将来部署的广泛的AI系统，例如，自动化的车辆，服务机器人或基于互动的语音助手。该项目需要在互动和自动化的互动和自动化的方面进行动态信任维护的需求（通常可以在互动和自动化的系统中使用），从而涉及互动和自动化的习惯，从而参与了CONCERICION CONSICE CONCONTISS AI I IN COMPORTION CONSICTION IN CONSICERIDIATY AIR IN CONCORTISTION AI I IN COMPORTISTION AIR IN CONSICITION IN CONSICITIAL适用于解释生成的任务。这一挑战将通过这些具体目标来解决：（1）研究人类中的合作联合行动，以确定成功人类交流目标至关重要的情感，情感或认知因素，（2）通过从认知科学研究中衍生出的认知计划技术，并从认知科学研究中衍生出启发式，以及（3）对人类型和评估的造成人类型和评估的方法，以实现人类的作用和评估。

项目成果

Start Making Sense: Cognitive and Affective Confidence Measures for Explanation Generation using Epistemic Planning

开始有意义：使用认知规划生成解释的认知和情感置信度测量

• 发表时间: 2019
• 作者: Petrick RPA

PRIMA 2022: Principles and Practice of Multi-Agent Systems - 24th International Conference, Valencia, Spain, November 16-18, 2022, Proceedings

PRIMA 2022：多智能体系统的原理与实践 - 第 24 届国际会议，西班牙巴伦西亚，2022 年 11 月 16-18 日，会议记录

• DOI: 10.1007/978-3-031-21203-1_31
• 发表时间: 2023
• 作者: Cipolina-Kun L

Combining Cognitive and Affective Measures with Epistemic Planning for Explanation Generation

将认知和情感测量与解释生成的认知规划相结合

• 发表时间: 2019
• 作者: Petrick RPA

Within Task Preference Elicitation in Net Benefit Planning

在净效益规划中的任务偏好诱导中

• 发表时间: 2021
• 作者: Lindsay A

Supporting an Online Investigation of User Interaction with an XAIP Agent

支持用户与 XAIP 代理交互的在线调查

• 发表时间: 2020
• 作者: Lindsay A