Multi-Agent System
term_id: multi_agent_system
Category: application_paradigms
Definition
Multi-agent systems consist of several independent agents, each potentially specializing in different tasks or domains. These agents communicate and coordinate their actions to achieve a common goal, often mimicking human team dynamics. This paradigm enhances robustness, parallelism, and modularity, allowing for complex workflows like research, coding, or strategic planning by breaking tasks into manageable sub-goals handled by specialized agents.
Summary
An architectural approach where multiple autonomous AI agents collaborate, compete, or coordinate to solve complex problems that exceed individual capabilities.
Key Concepts
- Agent Collaboration
- Specialization
- Coordination
- Decentralization
Use Cases
- Automated software development
- Complex simulation environments
- Distributed decision-making