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Four Bridges: Measuring Deception Propensity in a Multi-Agent Game

Paper recorded by Signals 4 on 2026-11-02 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-02 on arXiv · recorded by Signals 4 on 2026-11-03

Category: cs.AI · 人工智能 · first seen 2026-11-03

Abstract

AI agents are increasingly deployed in settings where they interact and coordinate with other agents, yet honesty is mostly measured in single-turn, single-agent benchmarks that pressure the model to deceive. We study deception that emerges in multi-agent interaction without any instruction to deceive. We introduce Kradle, a platform for evaluating AI models, and Four Bridges, an information asymm

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#29 most recent of 920 cs.AI papers we have recorded · ↑ newer: DiabAgent: Toward Agentic Physiological Control · ↓ older: Spacetime Emergence in the Memory of a Learning Agent
Cite this page: Four Bridges: Measuring Deception Propensity in a Multi-Agent Game: the #29 most recent of 920 cs.AI papers we have recorded (as of 2026-11-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/four-bridges-measuring-deception-propensity-in-a-multi-agent-game.html
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