The notion of preferences plays an important role in many disciplines including service robotics which is concerned with scenarios in which robots interact with humans. These interactions can be favored by robots taking human preferences into account. This raises the issue of how preferences should be represented to support such preference-aware decision making. Several formal accounts for a notion of preferences exist. However, these approaches fall short on defining the nature and structure of the options that a robot has in a given situation. In this work, we thus investigate a formal model of preferences where options are non-atomic entities that are defined by the complex situations they bring about.

翻译：偏好概念在诸多学科中扮演重要角色，包括涉及机器人与人交互场景的服务机器人领域。通过考虑人类偏好，机器人可优化此类交互过程。这引发了如何表征偏好以支持偏好感知决策的问题。现有研究提出了多种偏好形式化模型，但这些方法未能充分定义机器人在特定情境中所面临选项的本质与结构。为此，本文研究了一种将选项视为非原子实体、并由其引发的复杂情境来定义的形式化偏好模型。