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In our increasingly networked world, fewer and fewer decisions can be made in isolation. Consequently, AI agents "artificially intelligent, programmed decision-makers" must cooperate, compete, and trade with other agents, both human and artificial. This trend drives Amy Greenwald's twin research goals: first, the effort to design and implement AI agents that interact effectively in multiagent environments; second, the effort to understand, explain, and accurately predict the dynamics of such interactions. In pursuing these goals, Prof. Greenwald draws from theoretical and practical sources, including a variety of disciplines such as AI, decision theory, game theory, and economics.
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arxiv(2024)
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ICLR 2024 (2024)
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CoRR (2024)
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NeurIPS (2023)
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AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systemspp.272-280, (2023)
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CoRR (2023): 760-781
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arxiv(2023)
arXiv (Cornell University) (2023)
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ACDApp.237-246, (2023)
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