Semantic representation is a key enabler for several application domains, and the multi-agent systems realm makes no exception. Among the methods for semantically representing agents, one has been essentially achieved by taking a behaviouristic vision, through which one can describe how they operate and engage with their peers. The approach essentially aims at defining the operational capabilities of agents through the mental states related with the achievement of tasks. The OASIS ontology -- An Ontology for Agent, Systems, and Integration of Services, presented in 2019 -- pursues the behaviouristic approach to deliver a semantic representation system and a communication protocol for agents and their commitments. This paper reports on the main modeling choices concerning the representation of agents in OASIS 2, the latest major upgrade of OASIS, and the achievement reached by the ontology since it was first introduced, in particular in the context of ontologies for blockchains.

翻译：语义表示是多个应用领域的关键推动因素，多智能体系统领域也不例外。在语义表示智能体的方法中，一种主要途径是通过行为主义视角实现，借此可以描述它们如何运作及与同伴互动。该方法本质上旨在通过实现任务相关的心理状态来定义智能体的操作能力。2019年提出的OASIS本体——智能体、系统与服务集成本体——遵循行为主义方法，为智能体及其承诺提供语义表示系统和通信协议。本文报告了OASIS最新主要升级版本OASIS 2中有关智能体表示的主要建模选择，以及该本体自首次引入以来所取得的成就，特别是在区块链本体语境下的进展。