Draft:Agent Swarm

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• Comment: Obvious LLM authorship. WP:AIBOLD, random table, WP:LLMISM. Rewrite with human hands and evaluate for hallucinations. SocDoneLeft (talk) 18:53, 4 March 2026 (UTC)

An Agent Swarm is a decentralized, multi-agent artificial intelligence system in which numerous autonomous agents collaborate toward shared objectives. Moving away from monolithic, single-agent large language models (LLMs), agent swarms function as a collaborative workforce - mimicking the swarm intelligence found in biological systems like ant colonies or beehives to execute multifaceted tasks, maintain context, and reduce hallucinations..^[1].

The mathematical foundation of agent swarms is rooted in Swarm Intelligence. This includes algorithms like Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO). These models simulate how individuals "leave traces" (like pheromones) or communicate positions to find optimal solutions in a multi-dimensional search space^[2].

Researchers use Agent-Based Modeling to simulate the actions and interactions of autonomous agents. By adjusting variables at the individual level, scientists can predict how a large-scale swarm will react to environmental stressors or task requirements^[3]

Agent swarms are increasingly utilized across various industries due to their efficiency in handling spatial and parallel tasks:

Recent breakthroughs in Large Language Model (LLM) integration have given rise to "LLM Swarms". In these systems, each agent is powered by a generative AI model, allowing them to communicate via natural language to solve complex software engineering, research, and strategic planning tasks^[4]

• Multi-agent system
• Swarm intelligence
• Distributed artificial intelligence
• Agentic AI
• Autonomous systems