How memory can affect collective and cooperative behaviors in an LLM-Based Social Particle Swarm
This study examines how model-specific characteristics of Large Language Model (LLM) agents, including internal alignment, shape the effect of memory on their collective and cooperative dynamics in a multi-agent system. To this end, we extend the Social Particle Swarm (SPS) model, in which agents move in a two-dimensional space and play the Prisoner's Dilemma with neighboring agents, by replacing its rule-based agents with LLM agents endowed with Big Five personality scores and varying memory le
Record details
Published: 14 April 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (14 April 2026), “How memory can affect collective and cooperative behaviors in an LLM-Based Social Particle Swarm,” evidence record 5896, https://ethics.ai/record/5896 (originally published by arXiv).
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