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agent...
Survey of intelligent collaborative E-learning systems In recent years, agent technology is used to design solutions that facilitate the implementation of new concepts, especially in the field of E-learning. It... A Asselman,AE Nasseh,S Aammou - IEEE 被引量: 1发表: 2017年 Reinforcement Learn...
並列篇名 The Design of a Multi-agent-based Intelligent Collaborative Learning System作者 罗冬梅、黄贤立 中文摘要 针对当前网络协作学习系统中存在的问题,结合Multi-Agent技术的认知、学习、相互协作等能力,设计和实现了基于Multi-Agent技术的智能协作学习系统,并分析其特征,以期对促进网络教育的发展提供参考和借鉴。
The paper introduces a multi-agent system for collaborative e-learning (MASCE). MASCE is to assist teaching and learning process and also to encourage collaborative learning among peers. This system shall be used in a blended learning environment as a supplement to the face-to-face lecture ...
scenarios that necessitate collaborative efforts and information sharing among multiple intelligent systems. 我们建议使用多个 IGA,这是基于系统多样性可以提高性能的概念。该理念基于分工原则,每个代理专门负责一项特定功能,从而提高整个系统的效率和有效性。这反映了人类系统中团队合作的概念,即不同的个体贡献他们的专业...
CAMPHOR: Collaborative Agents for Multi-Input Planning and High-Order Reasoning On Device While server-side Large Language Models (LLMs) demonstrate proficiency in tool integration and complex reasoning, deploying Small Language Models (SLMs) directly on devices brings opportunities to improve latency an...
Moreover, most of the prior research where agents are actually able to learn and adapt based on their past interactions mainly focuses on reinforcement learning techniques at the individual agent level. We argue that, in many important applications and contexts, complex large-scale collaborative ...
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...
Co-Learning: Code Learning for Multi-Agent Reinforcement Collaborative Framework with Conversational Natural Language Interfaces 2 Sep 2024 · Jiapeng Yu, Yuqian Wu, Yajing Zhan, Wenhao Guo, Zhou Xu, Raymond Lee · Edit social preview Online question-and-answer (Q\&A) systems based on the Large...