This Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems supports research to significantly increase the scalability of algorithms for solving large-scale, multi-step, imperfect-information strategic interactions. Specifically, the $854,896 award to Carnegie Mellon University (CMU) from August 1, 2023 to July 31, 2026 will fund the design, implementation, and testing of novel techniques in three main areas: The research will enable more realistic and scalable modeling of strategic interactions across a wide range of real-world applications, including negotiation, business, defense, cybersecurity, and more. The results will be incorporated into new CMU courses on computational game solving and cooperative AI, as well as the university's undergraduate and graduate AI curriculum.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $854.9k | 7/18/23 |