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O'Neill et al.: A Board Where Nothing Makes You Keep Your Word — Fukai Reads
A paper from UC Berkeley introducing C2C, a four-player conquest game built to measure negotiation and betrayal. On a board with no mechanism at all to enforce agreements, language models and humans played over 1,100 games — and humans turned out to make far fewer promises than the AI agents did.
Earle et al.: Recasting Level Design from a One-Person Job to a Multi-Agent Collaboration — Fukai Reads
A paper on reinforcement-learning level generation (PCGRL) by Earle et al. It recasts the traditional single-agent, tile-by-tile method as a multi-agent problem in which several agents divide the work and edit in parallel, showing across maze and dungeon domains that more agents improve generation quality, generalization to unseen boards, and computational efficiency.
Zeng et al.: Automating Game Balancing with LLM-vs-LLM Self-Play — Fukai Reads
A paper by Zeng et al. on automated game balancing. It tackles balancing asymmetric strategy games by using multi-agent LLM self-play as an evaluator and Bayesian optimization to search rule parameters, reporting convergence to near-0% win-rate gaps on their own game, CivMini.
Liu et al.: More Memory Makes AI Agents Less Cooperative — Fukai Reads
An arXiv paper from a Carnegie Mellon-led team studying how an LLM agent's memory length affects cooperation. Across 7 models, 4 repeated social-dilemma games, history windows up to 80 rounds and 500-round matches, longer history degrades cooperation in 18 of 28 settings — a 'memory curse.' The cause is the content of accumulated defection records, not context length, and forward-looking reasoning partly fixes it.
Feng et al.: Can LLM Agents Bargain Well in a Trading Game? — Fukai Reads
A Tsinghua University team's benchmark, SidConArena, for evaluating LLM agents in a cooperative-yet-competitive trading game. Built on the board game Sidereal Confluence, it scores agents across negotiation, production, and sealed-bid auction phases, finding that frontier models are stronger but still misprice resources, bargain passively, and plan poorly over long horizons.
