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Full-Text Articles in Engineering
Utilizing Deep Neural Networks For Brain–Computer Interface-Based Prosthesis Control, Thomas C. Noel, Brian R. Snider
Utilizing Deep Neural Networks For Brain–Computer Interface-Based Prosthesis Control, Thomas C. Noel, Brian R. Snider
Faculty Publications - Department of Electrical Engineering and Computer Science
Limb amputations affect a significant portion of the world’s population every year. The necessity for these operations can be associated with related health conditions or a traumatic event. Currently, prosthetic devices intended to alleviate the burden of amputation lack many of the premier features possessed by their biological counterparts. The foremost of these features are agility and tactile function. In an effort to address the former, researchers here investigate the fundamental connection between agile finger movement and brain signaling. In this study each subject was asked to move his or her right index finger in sync with a time-aligned finger …
Clues About Bluffing In Clue: Is Conventional Wisdom Wise?, David Hansen, Kyle D. Hansen
Clues About Bluffing In Clue: Is Conventional Wisdom Wise?, David Hansen, Kyle D. Hansen
Faculty Publications - Department of Electrical Engineering and Computer Science
We have used the board game Clue as a pedagogical tool in our course on Artificial Intelligence to teach formal logic through the development of logic-based computational game-playing agents. The development of game-playing agents allows us to experimentally test many game-play strategies and we have encountered some surprising results that refine “conventional wisdom” for playing Clue. In this paper we consider the effect of the oft-used strategy wherein a player uses their own cards when making suggestions (i.e., “bluffing”) early in the game to mislead other players or to focus on acquiring a particular kind of knowledge. We begin with …