Understanding Civilization Failures Through AI: A Deep Dive into MARL
Civilization failures arise when systems are trapped, unable to implement obvious improvements. In my exploration of Inadequate Equilibria, I identify three primary causes:
- Coordination Failures: Collective action, like achieving carbon neutrality, becomes elusive.
- Decision-Maker Disengagement: Decision-makers often lack incentives to align with beneficiaries.
- Information Asymmetry: Essential decision-making information is not consistently shared.
These issues stem from our genetic diversity, contrasting with clonal species like ants, which can effortlessly coordinate. My research in Multi-Agent Reinforcement Learning (MARL) examines how agents with differing interests can navigate cooperation and survival challenges in a controlled environment.
Key questions I explore include:
- Can agents coordinate to tackle pollution?
- What dynamics evolve with varying communication types?
As I refine my model, I invite you to share your thoughts! Let’s innovate together in AI.
🔗 Engage with the content and comment below with your ideas!