Coadaptation Principles that Govern Emergent Behavior During Human-Agent and Human-Human I — NSF Award to University of Delaware (
Humans have a remarkable ability to seamlessly interact with synthetic agents (e.g., control brain machine interfaces, active prosthetics, and assistive exoskeletons) and other humans. Despite its ubiquity and importance, the mechanisms of co-adaptation that govern and lead to the emergence of these seamless interactio
| Award title | Coadaptation Principles that Govern Emergent Behavior During Human-Agent and Human-Human I |
|---|---|
| Award ID | 2434966 |
| Awardee | University of Delaware |
| City | NEWARK |
| State | DE |
| Amount obligated | $699,641 |
| Principal investigator | Joshua Cashaback |
| Program | M3X - Mind, Machine, and Motor, Special Initiatives |
| Start date | 10/01/2024 |
| Abstract | Humans have a remarkable ability to seamlessly interact with synthetic agents (e.g., control brain machine interfaces, active prosthetics, and assistive exoskeletons) and other humans. Despite its ubiquity and importance, the mechanisms of co-adaptation that govern and lead to the emergence of these seamless interactions remain unknown. Understanding how humans interact with other adaptive entities is highly relevant across many facets of society, such as medical rehabilitation, human and artifi |
| Source | NSF Awards |
$799/mo
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