Dialog-based Multi-Agent Collaboration

Dialog-based multi-agent collaboration is an important research direction in multi-agent systems, involving multiple agents communicating and collaborating through natural language dialogues to accomplish complex tasks. Its key technologies and challenges include:

1.Task Decomposition and Allocation:

Decomposing complex tasks into multiple sub-tasks and reasonably allocating them according to the capabilities and expertise of each agent, ensuring that each agent can efficiently complete its assigned sub-task.

2.Dialogue Management and Semantic Understanding:

Designing an efficient dialogue management system to ensure that the dialogue between agents maintains logical coherence and sequential order, accurately understanding each other's intentions and needs, thereby achieving effective collaboration.

3.Information Sharing and Coordination:

Establishing an efficient information sharing mechanism so that agents can promptly obtain and update the status and information of other agents, and coordinate consistent actions to achieve common goals.