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Bayesian Belief Layer for Controllable Opinion Dynamics in LLM Agents

Paper recorded by Signals 4 on 2026-09-18 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-18 on arXiv · recorded by Signals 4 on 2026-09-21

Category: cs.AI · 人工智能 · first seen 2026-09-21

Abstract

LLM agents in social simulation revise their opinions implicitly, in context: how open an agent is to persuasion can neither be specified nor verified, and collective outcomes inherit the model's training prior. We introduce Bayesian Chronicle Agents (BCA), a minimal belief layer separating \emph{what} an agent believes from \emph{how} it speaks. Each stance is a probability, updated by one Bayesi

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#6 most recent of 320 cs.AI papers we have recorded · ↑ newer: DiaVLo: Diagnosing Behaviours of Vision-Language Models · ↓ older: A Lie Detector Test for Language Models: Reading Knowledge a Model Won

Cite this page: Bayesian Belief Layer for Controllable Opinion Dynamics in LLM Agents: the #6 most recent of 320 cs.AI papers we have recorded (as of 2026-09-18). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/bayesian-belief-layer-for-controllable-opinion-dynamics-in-llm-agents.html
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