Abstract

Goal-Driven Swarm Intelligence: The Role of AI in Coordinating Decentralized Multi-Agent Systems

Sheng Lin

While Swarm Intelligence is characterized by the autonomy of its individual agents and the emergence of global behavior from local interactions, Artificial Intelligence can play a critical role in orchestrating and guiding these swarms towards the achievement of specific, predefined objectives. AI algorithms, particularly those within the realms of reinforcement learning, evolutionary computation, and meta-heuristics, can be strategically employed to design and fine-tune the rules and parameters that govern the behavior of individual swarm agents. This allows for a degree of high-level control and direction over the emergent collective intelligence, enabling us to harness the power of swarms for targeted outcomes.

Published Date: 2025-03-14; Received Date: 2025-02-12