The former is concerned with techniques for decomposing either the problem to be solved or the collective behavior into simpler independent components that can be more easily handled by the learning process.Liviu A. PanaitSean LukeL. Panait, S. Luke, Collaborative multi-agent learning: A survey...
在这种情况下,每个agent都专注于任务的不同方面:一些agent专注于 数据检索 和呈现,另一些专注于 深度分析 和洞察生成,还有一些专注于计划和决策。这种分工使每个agent都可以发挥其所长,从而产生更快、更准确的结果。 3. Collaborative learning 协作学习 在multi-agent systems中,单个agent之间的交互可以产生超出任何单个...
We believe that this is the first application of demonstration-based learning to simultane-ously training distinct policies to multiple agents. We validate our approach with experiments in two complex simulated domains. 展开 关键词: CiteSeerX citations Multiagent Collaborative Task Learning through ...
AgentVerse [23] 是一个基于LLM的多智能体场景模拟框架。Langroid [40] 构建基于LLM的多智能体编程。SocraticAI [41] 通过利用多智能体在苏格拉底对话中的力量,提高了问题解决能力。由于大多数人都没有嵌入先进的人类管理经验,他们无法解决更大、更复杂的实际项目。我们的MetaGPT融入了人类工作流程的洞察,以实现更...
A Collaborative Learning System Based on Multi-agent A multi-agent learning system model is presented to solve the problems existing in the present remote learning system, such as the monotonous pattern and p... Y Wang,Z Fei,L Chen,... - International Conference on Advanced Language Processing...
Summary: In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of coordination graphs of Guestrin, Koller, and Parr which exploits the dependencies between agents to decompose...
A Collaborative Learning System Based on Multi-agent A multi-agent learning system model is presented to solve the problems existing in the present remote learning system, such as the monotonous pattern and p... Y Wang,Z Fei,L Chen,... - IEEE 被引量: 32发表: 2008年 Collaborative multi-...
We present a multi-agent system (MAS) communication protocol for an intelligent learning management system that provides, among others, collaborative services. The motivation behind this study stems from the need to enhance the possibilities of the current software architecture of the EUME project. Ou...
It uses compensates mechanism to encourage the agent cooperation,state-space-search theory to enable the MAS system to have the stronger problem solving ability,both of which can meet demand of active learning for the learners and to some extent economize communication of system and save the ...
Collaborative monitoring of large infrastructures, such as military, transportation and maritime systems are decisive issues in many surveillance, protection, and security applications. In many of these applications, dynamic multi-agent systems using reinforcement learning for agents' autonomous path planning...