图2中黄色阴影部分展示了项目内置的conversable agent，以及扩展出来的助理agent（由LLM支持的人工智能助理...
作者提出了一种名为通信对齐对比学习(Communication Aligned Contrastive Learning,简称CACL)的方法。在这种方法中,每个智能体分别利用对比学习,通过比较自己发送和接收的消息来学习通信编码。这种策略旨在使得来自同一环境状态的消息在嵌入空间中彼此接近,而与来自不同状态的消息保持距离,从而实现通信的有效性和准确性。 二...
agent communication protocolsMultiagent systems, in which independent software agents interact with each other to achieve common goals, complete concurrent distributed tasks under autonomous control. Agent Communication has been shown to be an important factor in coordinating efficient group behavior in ...
multi-agentcommunication modelcost balancenegotiation strategy 多agent通信模型开销均衡协商策略Based on dynamic, heterogeneous network to quickly build robust multi... WANG Lu,WANG Zhiliang,YANG Yi,... - 《计算机应用研究》 被引量: 5发表: 2012年 UUV formation system modeling and simulation research ba...
The principle aim of this paper is to reconsider the suitability of Austin and Searle’s Speech Act theory as a basis for agent communication languages. Two distinct computational interpretations of speech acts are considered: the standard “mentalistic” approach associated with the work of Cohen ...
The confluence of the advancement of Autonomous Vehicles (AVs) and the maturity of Vehicle-to-Everything (V2X) communication has enabled the capability of cooperative connected and automated vehicles (CAVs). Building on top of cooperative perception, this paper explores the feasibility and effectiveness...
Designing a suitable communication protocol is a key challenge in engineering a multiagent system. This paper proposes Muon, an approach that begins from representative samples of interactions or scenarios . Muon identifies key semantic structures and patterns based on (social) commitments to formally ...
In this paper, we present a reinforcement learning approach for multi-agent communication in order to learn what to communicate, when and to whom. This method is based on introspective agents that can reason about their own actions and data so as to construct appropriate communicative acts. We ...
Additionally, we introduce a multi-stage communication approach where the agents co-ordinate via multiple rounds of communication before taking actions in the environment. We evaluate our approach on a diverse set of cooperative multi-agent tasks, of varying difficulties, with varying number of agents...