CAREER: Learning to Avoid Tragedies: Heterogeneous Multi-Agent Learning in Dynamic Environ — NSF Award to University of Colorado a
Society is rapidly evolving at the whims of cultural shifts and technological advancement, leading to systems that are driven by decision-makers with various types of capabilities, behaviors, and incentives. This emergent heterogeneity is now a defining feature that governs the modern world, yet its impact is poorly un
| Award title | CAREER: Learning to Avoid Tragedies: Heterogeneous Multi-Agent Learning in Dynamic Environ |
|---|---|
| Award ID | 2541011 |
| Awardee | University of Colorado at Colorado Springs |
| City | COLORADO SPRINGS |
| State | CO |
| Amount obligated | $527,459 |
| Principal investigator | Keith Paarporn |
| Program | EPCL: Energy, Power, Control, |
| Start date | 05/01/2026 |
| Abstract | Society is rapidly evolving at the whims of cultural shifts and technological advancement, leading to systems that are driven by decision-makers with various types of capabilities, behaviors, and incentives. This emergent heterogeneity is now a defining feature that governs the modern world, yet its impact is poorly understood at a scientific level. How will societal outcomes unfold when everyone has an abundance of information and AI tools at their fingertips? Will these outcomes be for the bet |
| Source | NSF Awards |
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