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pro vyhledávání: '"Parker, Adam"'
Autor:
Parker, Adam Michael
In this dissertation project, I make three separate contributions to the study of the political economy of automation which center the agency of workers and society over technological change. The papers presented here each take a historical approach,
Artificial limbs are sophisticated devices to assist people with tasks of daily living. Despite advanced robotic prostheses demonstrating similar motion capabilities to biological limbs, users report them difficult and non-intuitive to use. Providing
Externí odkaz:
http://arxiv.org/abs/2305.14365
Autor:
Dawson, Michael R., Parker, Adam S. R., Williams, Heather E., Shehata, Ahmed W., Hebert, Jacqueline S., Chapman, Craig S., Pilarski, Patrick M.
Recent advances in upper limb prostheses have led to significant improvements in the number of movements provided by the robotic limb. However, the method for controlling multiple degrees of freedom via user-generated signals remains challenging. To
Externí odkaz:
http://arxiv.org/abs/2212.14124
Autor:
Pilarski, Patrick M., Butcher, Andrew, Davoodi, Elnaz, Johanson, Michael Bradley, Brenneis, Dylan J. A., Parker, Adam S. R., Acker, Leslie, Botvinick, Matthew M., Modayil, Joseph, White, Adam
Learned communication between agents is a powerful tool when approaching decision-making problems that are hard to overcome by any single agent in isolation. However, continual coordination and communication learning between machine agents or human-m
Externí odkaz:
http://arxiv.org/abs/2203.09498
Autor:
Butcher, Andrew, Johanson, Michael Bradley, Davoodi, Elnaz, Brenneis, Dylan J. A., Acker, Leslie, Parker, Adam S. R., White, Adam, Modayil, Joseph, Pilarski, Patrick M.
In this paper, we contribute a multi-faceted study into Pavlovian signalling -- a process by which learned, temporally extended predictions made by one agent inform decision-making by another agent. Signalling is intimately connected to time and timi
Externí odkaz:
http://arxiv.org/abs/2201.03709
Autor:
Brenneis, Dylan J. A., Parker, Adam S., Johanson, Michael Bradley, Butcher, Andrew, Davoodi, Elnaz, Acker, Leslie, Botvinick, Matthew M., Modayil, Joseph, White, Adam, Pilarski, Patrick M.
Artificial intelligence systems increasingly involve continual learning to enable flexibility in general situations that are not encountered during system training. Human interaction with autonomous systems is broadly studied, but research has hither
Externí odkaz:
http://arxiv.org/abs/2112.07774
Learned human-agent decision-making, communication and joint action in a virtual reality environment
Autor:
Pilarski, Patrick M., Butcher, Andrew, Johanson, Michael, Botvinick, Matthew M., Bolt, Andrew, Parker, Adam S. R.
Humans make decisions and act alongside other humans to pursue both short-term and long-term goals. As a result of ongoing progress in areas such as computing science and automation, humans now also interact with non-human agents of varying complexit
Externí odkaz:
http://arxiv.org/abs/1905.02691
Autor:
Tayler, James, Duffin, Christopher J., Hildebrandt, Claudia, Parker, Adam, Benton, Michael J.
Publikováno v:
In Proceedings of the Geologists' Association January 2023
Akademický článek
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