cooperation

The article introduces Autopoietic Game Theory, a computational model demonstrating that coupling social interactions with replication costs in evolving agentic systems can favor the emergence of cooperation, using Z80 machine code simulations.

Eliezer Yudkowsky urges Democrats and Republicans to cooperate on a common issue to defend against death, emphasizing unity over partisan attacks.

This paper introduces FPCO-Dialog, a benchmark for evaluating correction and cooperation behavior in vision-language models under repeated false premises in multi-turn dialogues.

This paper explores the impact of network topology and opponent information on the emergence of cooperation in multi-agent reinforcement learning systems, specifically in the Iterated Prisoner's Dilemma, finding that graph structure and information availability significantly influence cooperative strategies.

The article discusses concerns about AI agents hacking systems and how this shared risk could push the US and China to cooperate on AI safety.

This paper examines how persona prompts influence strategic behavior of large language model agents in an iterated Split or Steal game, finding that mutual Split outcomes dominate and that model choice and persona type significantly affect cooperation and exploitation.

YZi Labs announced a cooperation agreement with CEA Industries for BNB NetworkCo, adding new board members and appointing an interim president to support the token's growth.

Article reports on a Beijing AI conference where top experts from the US and China expressed alarm over the risks of advanced AI and called for international cooperation to mitigate cybersecurity and systemic dangers, drawing parallels to Cold War nuclear coordination.

This paper argues that superintelligent AI systems designed under a solipsistic paradigm that treats the world as stationary will be self-undermining and uncooperative, leading to collective failures. The authors call for a new research paradigm that treats interdependence and cooperation as core design principles.

Introduces SovSim, a multi-agent simulation framework for studying cooperation and resource sustainability in LLM societies with asymmetric power structures. Experiments show that introducing a dominant agent (boss or king) severely degrades cooperation and survival rates across 11 state-of-the-art models.

This paper presents a two-level autoresearch framework where an outer-loop AI agent autonomously optimizes inner-loop LLM policy-synthesis pipelines for multi-agent sequential social dilemmas, achieving superior performance and discovering objective-specific mechanisms like fairness under a maximin welfare objective.

OpenAI presents LOLA (Learning with Opponent-Learning Awareness), a multi-agent reinforcement learning method where agents shape the anticipated learning of other agents. The approach demonstrates emergence of cooperation in iterated prisoner's dilemma and convergence to Nash equilibrium in game-theoretic settings.