提出可被机器人利用的协作动作模式表示方法，提升多智能体协同能力。
Agent-Exploitation Affordances: From Basic to Complex Representation Patterns
- 构建可计算的协作动作模式本体表示框架
- 通过组合基础模式实现多样场景建模
- 适用于社交机器人协同任务设计
在机器人学中，智能体表征其行动可能性（即功能可供性）的能力对理解其与环境的交互至关重要。尽管功能可供性（如工具与物体的使用）在知识表示领域已得到广泛研究，但社会情境及其他智能体存在时的影响仍鲜有探索。因此，在社交机器人领域，多智能体环境使智能体能够开展新行为，这些行为可能与其个体能力互补，从而形成‘代理利用’的视角。本文聚焦于社交可供性中的协作可供性概念，指代智能体间互动以拓展各自行动范围的情形。基于此定义，本文提出一种可操作的本体表示方法，旨在使人工代理能有效使用该概念。在此基础上，通过组合基本模式，展示了该表示方法在描述多样化场景中的有效性。
原文摘要 · Abstract (English)
In robotics, the capability of an artificial agent to represent the range of its action possibilities, i.e. affordances, is crucial to understand how it can act on its environment. While functional affordances, which refer to the use of tools and objects, have been broadly studied in knowledge representation, the implications of a social context and the presence of other agents have remained unexplored in this field. Consequently, in the field of social robotics, a multi-agent context enables the agents to engage in new actions that are potentially complementary to their individual capabilities, leading to the perspective of agentexploitation. This work focuses on the concept of cooperative affordance within the realm of social affordances. Cooperative affordances refer to situations where agents interact with each other to extend their action possibilities range. From this definition, this paper proposes a tractable ontological representation of this concept with the aim of making it usable by an artificial agent. Expanding on those elementary patterns, we illustrate the effectiveness of these representations by combining them to depict a diverse range of scenarios.
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