Summary of Artificial Leviathan: Exploring Social Evolution Of Llm Agents Through the Lens Of Hobbesian Social Contract Theory, by Gordon Dai et al.
Artificial Leviathan: Exploring Social Evolution of LLM Agents Through the Lens of Hobbesian Social Contract Theory
by Gordon Dai, Weijia Zhang, Jinhan Li, Siqi Yang, Chidera Onochie lbe, Srihas Rao, Arthur Caetano, Misha Sra
First submitted to arxiv on: 20 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Computers and Society (cs.CY); Human-Computer Interaction (cs.HC); Multiagent Systems (cs.MA)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces a simulated agent society built upon Large Language Models (LLMs) to explore social relationships at scale. Agents are designed with psychological drives and placed in a survival environment. The authors evaluate the agent society through Thomas Hobbes’s Social Contract Theory, analyzing whether agents seek to escape chaos by surrendering rights to an absolute sovereign. The experiments show that initially, agents engage in conflict, but as the simulation progresses, social contracts emerge, leading to the establishment of a peaceful commonwealth founded on cooperation. This alignment between the agent society and Hobbes’s theory indicates LLMs’ capability to model complex social dynamics, potentially replicating forces that shape human societies. The authors suggest that LLM-driven multi-agent simulations may advance our understanding of social structures, group dynamics, and complex systems. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper uses computers to create a virtual world where agents interact with each other in different ways. These agents are designed to have their own motivations and goals. The authors want to see if these agents will follow the same patterns as humans do when they work together or form societies. They use a famous idea from a philosopher named Thomas Hobbes to understand what happens in this virtual world. The results show that at first, the agents act selfishly and fight each other. But as time goes on, they start working together and forming rules to live by. This is similar to what humans do when we form societies and work together. The authors think that these computer simulations can help us understand how human societies work and why things happen in certain ways. |
Keywords
» Artificial intelligence » Alignment
