Summary of Designing Skill-compatible Ai: Methodologies and Frameworks in Chess, by Karim Hamade et al.
Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
by Karim Hamade, Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg, Ashton Anderson
First submitted to arxiv on: 8 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY); Machine Learning (cs.LG)
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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 proposed framework assesses the compatibility of near-optimal AI with interaction partners having lower levels of skill, using popular collaborative chess variants as model systems to develop AI agents that can successfully interact with less-skilled entities. The traditional chess engines designed for optimal moves are inadequate in this domain due to their lack of consideration for other agents. The paper contributes three methodologies and two chess game frameworks to create skill-compatible AI agents in complex decision-making settings, demonstrating the outperformance of state-of-the-art chess AI despite being weaker in conventional chess. This highlights the importance of skill-compatibility as a tangible trait distinct from raw performance. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI systems that interact with humans or other entities need more than just superhuman performance; they must also account for suboptimal actions or idiosyncratic styles. The paper proposes a framework to assess AI compatibility with partners having lower levels of skill, using chess variants as model systems. Traditional chess engines are inadequate because they don’t consider the presence of other agents. The paper suggests three methodologies and two frameworks to create compatible AI agents in complex decision-making settings. These agents outperform state-of-the-art chess AI despite being weaker in conventional chess. |
