Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Donald Sofge"'
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
Game theory offers techniques for applying autonomy in the field. In this mini-review, we define autonomy, and briefly overview game theory with a focus on Nash and Stackleberg equilibria and Social dilemma. We provide a discussion of successful proj
Externí odkaz:
https://doaj.org/article/3f377c6b683e4093b92701ae9fd9daa3
Publikováno v:
Sensors, Vol 17, Iss 11, p 2514 (2017)
Consider a disaster scenario where search and rescue workers must search difficult to access buildings during an earthquake or flood. Often, finding survivors a few hours sooner results in a dramatic increase in saved lives, suggesting the use of dro
Externí odkaz:
https://doaj.org/article/c1cc911b6286407885f34d6e50ffc126
Publikováno v:
2023 IEEE Aerospace Conference.
Publikováno v:
AIAA SCITECH 2023 Forum.
Autor:
Tristan Schuler, Cameron Kabacinski, Daniel Lofaro, Dhawal Bhanderi, Jennifer Nguyen, Donald Sofge
Publikováno v:
Proceedings of the 15th International Conference on Agents and Artificial Intelligence.
Publikováno v:
Unmanned Systems Technology XXIV.
Publikováno v:
SoutheastCon 2022.
Autor:
William Lawless, Donald Sofge
Publikováno v:
Human Factors in Robots, Drones and Unmanned Systems.
We update our theory of interdependence for autonomous human-machine teams operating in open systems (A-HMT-S). In closed systems, desired outcomes can be easily obtained with rational models (e.g., game theory); there, uncertainty can only be studie
Autor:
Prithviraj Dasgupta, James Llinas, Tony Gillespie, Scott Fouse, William Lawless, Ranjeev Mittu, Donald Sofge
Providing a high level of autonomy for a human-machine team requires assumptions that address behavior and mutual trust. The performance of a human-machine team is maximized when the partnership provides mutual benefits that satisfy design rationales