Summary of Multi-agent, Human-agent and Beyond: a Survey on Cooperation in Social Dilemmas, by Chunjiang Mu et al.
Multi-Agent, Human-Agent and Beyond: A Survey on Cooperation in Social Dilemmas
by Chunjiang Mu, Hao Guo, Yang Chen, Chen Shen, Shuyue Hu, Zhen Wang
First submitted to arxiv on: 27 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computer Science and Game Theory (cs.GT); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG); 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 This paper surveys recent advancements in Artificial Intelligence (AI) at the intersection of AI and cooperation in social dilemmas. Specifically, it reviews three key areas: multi-agent cooperation, human-agent cooperation, and leveraging AI agents to enhance human-human cooperation. In multi-agent cooperation, researchers have explored intrinsic and external motivations that support cooperation among rational agents, as well as strategies against diverse opponents. For human-agent cooperation, the paper discusses current AI algorithms for cooperating with humans and human biases towards AI agents. The study concludes by highlighting future research directions, including using large language models, establishing unified theoretical frameworks, revisiting existing theories of human cooperation, and exploring multiple real-world applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how Artificial Intelligence (AI) can help us understand and improve cooperation in social dilemmas. It explores three main areas: when AI helps other AI agents work together, when humans and AI work together, and using AI to help humans work better with each other. The study shows that AI has already given us new insights into what makes people cooperate, or not. It also talks about how we can use AI to create more effective strategies for working with others, whether they’re human or machine. Finally, the paper suggests some exciting areas for future research, like using AI to help us communicate better and find common ground. |
