4 papers
Exploring the Topology and Memory of Consensus: How LLM Agents Agree, Fragment, or Settle When Forming Conventions
Aliakbar Mehdizadeh, Martin Hilbert
How much should an LLM agent remember, and how should multi-agent systems be connected when trying to reach consensus? We show these two design choices interact in a way that flips…
Epistemic Substitution: How Grokipedia's AI-Generated Encyclopedia Restructures Authority
Aliakbar Mehdizadeh, Martin Hilbert
A quarter century ago, Wikipedia's decentralized, crowdsourced, and consensus-driven model replaced the centralized, expert-driven, and authority-based standard for encyclopedic kn…
When Your AI Agent Succumbs to Peer-Pressure: Studying Opinion-Change Dynamics of LLMs
Aliakbar Mehdizadeh, Martin Hilbert
We investigate how peer pressure influences the opinions of Large Language Model (LLM) agents across a spectrum of cognitive commitments by embedding them in social networks where…
Homophily-induced Emergence of Biased Structures in LLM-based Multi-Agent AI Systems
Aliakbar Mehdizadeh, Martin Hilbert
This study examines how interactions among artificially intelligent (AI) agents, guided by large language models (LLMs), drive the evolution of collective network structures. We as…