Benefits and Challenges of Multi-Agent Systems › Glossary

Michael BrenndoerferJuly 29, 20252 min read
AI Agent HandbookAll chapters
Part 10 of 15Multi-Agent Systems - Teamwork Among AIs
Chapter 29Benefits and Challenges of Multi-Agent Systems › Glossary
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Coordination Overhead: The additional complexity and effort required to synchronize multiple agents, manage dependencies, and ensure they work together correctly without conflicts.

Deadlock: A situation where agents are stuck waiting for each other in a cycle, preventing any progress. For example, Agent A waits for Agent B, which waits for Agent C, which waits for Agent A.

Dependency Management: The practice of identifying which agents depend on outputs from other agents and ensuring they execute in the correct order to satisfy these dependencies.

Format Mismatch: A communication error where one agent sends data in a format (like plain text) that another agent cannot parse because it expects a different format (like JSON).

Graceful Degradation: The ability of a system to continue functioning, possibly with reduced capabilities, when one or more agents fail, rather than failing completely.

Modularity: The property of a system where components (agents) are independent and reusable, with clear interfaces that allow them to be combined in different ways.

Parallel Processing: The execution of multiple independent tasks simultaneously by different agents, resulting in faster overall completion than sequential execution.

Redundancy: Having multiple agents perform the same or similar tasks to provide verification, error checking, or backup capability, improving overall system reliability.

Shared State: Data or information that multiple agents need to access or modify, requiring synchronization mechanisms to prevent conflicts and ensure consistency.

Specialization: The practice of designing agents with focused expertise in specific domains or tasks, allowing each agent to perform better in its area than a generalist agent could.