Multi-Agent Task Coordination Through Dynamic Peer Collaboration
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Solution Overview
Problem
Existing agent modules can only process user requests within their specific domain of expertise, limiting the ability to handle tasks requiring multiple domain-specific capabilities, and existing multi-agent collaboration methodologies are rigid and pre-designed, hindering complete automation of complex tasks.
Innovation Solution
A system and method enabling peer-to-peer natural language-based communication between agents, allowing for automatic selection of optimal agents to collaborate and process user requests that cannot be handled by a single agent, using a computing system to determine recipient agents, generate sub-task plans, and integrate external processing results to produce a final result.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple expert agents are implemented to process specialized tasks, then task processing capability is improved, but system complexity increases
Solution Approach 1:
A coordinator agent is introduced as an intermediary component that manages communication and task distribution among multiple expert agents. The coordinator receives user requests, determines which expert agents are needed, and coordinates their collaboration to produce final results, thereby managing system complexity while maintaining versatility
Solution Approach 2:
The system is segmented into specialized expert agents, each handling specific task domains, and a coordinator agent that manages overall task distribution. This segmentation allows complex tasks to be broken down and handled by appropriate specialists without requiring a single agent to master all domains
2Ease of manufacture
If pre-designed collaboration methodology is used, then implementation is simplified, but flexibility to handle diverse tasks is reduced
Solution Approach 1:
The collaboration methodology transitions from static pre-designed workflows to dynamic adaptive coordination. The coordinator agent dynamically determines task distribution and collaboration patterns based on the specific characteristics of each user request, allowing the system to adapt to diverse tasks while maintaining implementation simplicity through automated decision-making
3Device complexity
If one agent handles all tasks, then system complexity is reduced, but task processing quality deteriorates
Solution Approach 1:
Different parts of the system (expert agents) are assigned specialized qualities and expertise for specific task domains. Each expert agent possesses localized knowledge and capabilities optimized for its domain, ensuring high processing quality for specialized tasks while the coordinator manages overall system complexity
Data Source
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AI summary
The present disclosure relates to a method and system for processing a task through collaboration between agents. According to an aspect of the inventive concept, there is provided a method for processing a task through collaboration between agents, which is performed by a computing system. The method may comprise receiving a user request by a first agent from a user terminal and determining whether the first agent may process the user request by itself, inquiring detailed information on each of a plurality of agents when the first agent determines that it cannot process the user request by itself, and determining a recipient of a first task processing request, which requests to process at least some of a plurality of subtasks constituting a target task for generating a processing result for the user request, based on the detailed information, transmitting the first task processing request to a second agent determined as the recipient of the first task processing request, receiving first external processing result data from the second agent in response to the first task processing request and generating final processing result data for the user request by using the first external processing result data and transmitting the final processing result data to the user terminal.