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CICERO

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Meta AI agent achieving human-level performance in Diplomacy — a game requiring negotiation, alliance formation, and multi-party coordination. Published in Science (2022). Demonstrated AI can learn complex multi-party coordination with humans.

Organizations

2
Cooperative AI FoundationResearch foundation with $15M funding (from Macroscopic Ventures) studying how AI systems can learn to cooperate and how to design environments incentivizing cooperation. Co-founded by Allan Dafoe (now Director of Frontier Safety and Governance at Google DeepMind), Gillian Hadfield, and others. Published foundational "Open Problems in Cooperative AI" (2020). Key focus areas include multi-agent cooperation, preventing destructive AI competition, and human-AI coordination.
Olas (Autonolas)Protocol for building and coordinating autonomous multi-agent systems across blockchains. Uses Tendermint consensus so multiple agents must agree before executing on-chain. Decentralized marketplace for AI agent services.

People

1
Noam BrownResearcher at OpenAI (formerly Meta AI). Built CICERO — AI achieving human-level Diplomacy (published in Science 2022), requiring negotiation, alliance formation, and multi-party coordination. Also built Pluribus (6-player poker AI).

Related Projects

1
OpenSpielMost widely used framework for game-theoretic reinforcement learning research. Open-source library by Google DeepMind (Marc Lanctot et al.). Supports extensive-form games, normal-form games, and multi-agent RL environments.

Related Wiki Pages

Top Related Pages

Concepts

Heavy Scaffolding / Agentic SystemsAutonomous Cooperative Agents

Analysis

OpenSpielAI Safety Culture Equilibrium ModelRacing Dynamics Impact ModelMultipolar Trap Dynamics Model

Approaches

Multi-Agent Safety

Organizations

Olas (Autonolas)

Clusters

governance

Sources

Tags

game-theorynegotiationmulti-agentgovernance

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