A UMass Amherst lab directed by Shlomo Zilberstein. His research focuses on resource-bounded reasoning, which lets complex systems make decisions while coping with uncertainty and limited computational resources, including automated reasoning and multi-agent systems.
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Received $375k from 1 funder
Led by Shlomo Zilberstein (PI / lab director (Professor of Computer Science))Checked 26 Oct 2026
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All grants
1 grant totalling $375k, newest first.
2024 1 grant · $375k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Aug 2024 | NSF Safe Learning-Enabled Systems | $375k | NSF SLES award 2416460: Collaborative Research: No Bad Surprises: Aligning Agent and Human Norms via Specification Refinements. Estimated total award; 2024 cohort; programme run with Open Philanthropy and Good Ventures source |