多智能体协同任务执行数据集

本数据集聚焦多智能体系统协同任务执行的完整轨迹记录，覆盖多机器人搬运、多客服协作、分布式感知融合、协同内容生成等场景。数据内容包括协同任务元数据（类型、目标、复杂度）、参与智能体信息（角色、资源）、任务分解结构（子任务DAG、分配方案）、智能体间通信记录（时间、发送/接收方、消息类型、内容）、执行动作序列及协同效能评估指标（完成时间、通信开销、冲突次数、负载均衡等）。适用于协同策略优化、多智能体强化学习、任务分配算法评测、通信协议设计、协同过程挖掘等场景。This dataset focuses on complete trajectory records of collaborative task execution in multi-agent systems, covering scenarios including multi-robot transportation, multi-customer service collaboration, distributed perception fusion, and collaborative content generation. The data content includes collaborative task metadata (type, target, complexity), information of participating agents (role, resources), task decomposition structure (sub-task DAG, allocation scheme), communication records between agents (time, sender/receiver, message type, content), execution action sequences, and collaborative efficiency evaluation metrics (completion time, communication overhead, number of conflicts, load balancing, etc.). This dataset is applicable to scenarios such as collaborative strategy optimization, multi-agent reinforcement learning, task allocation algorithm evaluation, communication protocol design, and collaborative process mining.

搜集汇总

背景与挑战

背景概述

该数据集系统记录了多智能体系统在搬运、客服协作、感知融合等场景下协同任务执行的完整轨迹，涵盖任务元数据、智能体角色、通信记录、动作序列及效能评估指标。它适用于多智能体协同策略优化、强化学习训练、任务分配算法评测等研究与应用。