Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Edmund H. Durfee"'
Publikováno v:
Artificial Intelligence. 317:103864
Publikováno v:
AAAI
Scopus-Elsevier
Scopus-Elsevier
An autonomous agent acting on behalf of a human user has the potential of causing side-effects that surprise the user in unsafe ways. When the agent cannot formulate a policy with only side-effects it knows are safe, it needs to selectively query the
Publikováno v:
Autonomous Agents and Multi-Agent Systems. 34
We describe an approach for constraining robot autonomy based on the robot’s awareness of patterns of its human teammates’ behaviors, rather than either ignoring its teammates (which is fast but dangerous) or inferring their plans (which is safer
Publikováno v:
Autonomous Agents and Multi-Agent Systems. 34
We focus on how an agent can exercise autonomy while still dependably fulfilling commitments it has made to another, despite uncertainty about outcomes of its actions and how its own objectives might evolve. Our formal semantics treats a probabilisti
Publikováno v:
J Healthc Inform Res
We motivate and overview a system for schedule management assistance that we are developing specifically to help adolescents with disabilities who are transitioning to independent adulthood. We summarize how we have overcome a number of engineering c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d64aca2413a20470c5c667df70243a39
https://europepmc.org/articles/PMC8982801/
https://europepmc.org/articles/PMC8982801/
Publikováno v:
Artificial Intelligence. 279:103202
Individuals exhibit theory of mind, attributing beliefs, intent, and mental states to others as explanations of observed actions. Dennett's intentional stance offers an analogous abstraction for computational agents seeking to understand, explain, or
Publikováno v:
IJCAI
As it achieves a goal on behalf of its human user, an autonomous agent's actions may have side effects that change features of its environment in ways that negatively surprise its user. An agent that can be trusted to operate safely should thus only
Autor:
Stefania Fatone, Carolee J. Winstein, Levin J. Sliker, Steven A. Gard, Jon A. Sanford, Michael L. Jones, Todd A. Kuiken, Kevin Caves, Edmund H. Durfee, Patricia Karg, Geoff R. Fernie, John A. Brabyn, Thomas Corfman, Jordana L. Maisel, James H. Rimmer, Wendy A. Rogers, Gerald F. Harris, Michelle A. Meade, David M. Brienza, Li-Qun Zhang, Cathy Bodine, W. Zev Rymer, Sarah W. Blackstone, Michael McCue, David J. Reinkensmeyer, Aaron Steinfeld, Philip S. Requejo, Lawrence W. Schneider, Edward Steinfeld, Gregg Vanderheiden, Stephen Sprigle, Helena Mitchell, Frank DeRuyter, Yue Li, Tracy L. Mitzner, James L. Patton
Publikováno v:
Reinkensmeyer, DJ; Blackstone, S; Bodine, C; Brabyn, J; Brienza, D; Caves, K; et al.(2017). How a diverse research ecosystem has generated new rehabilitation technologies: Review of NIDILRR's Rehabilitation Engineering Research Centers. Journal of NeuroEngineering and Rehabilitation, 14(1). doi: 10.1186/s12984-017-0321-3. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/69m4855d
Journal of NeuroEngineering and Rehabilitation, Vol 14, Iss 1, Pp 1-53 (2017)
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation, Vol 14, Iss 1, Pp 1-53 (2017)
Journal of NeuroEngineering and Rehabilitation
© 2017 The Author(s). Over 50 million United States citizens (1 in 6 people in the US) have a developmental, acquired, or degenerative disability. The average US citizen can expect to live 20% of his or her life with a disability. Rehabilitation tec
Publikováno v:
Future Generation Computer Systems. 31:200-212
Selecting and scheduling human experts to cooperatively solve a problem can be a highly complex task, given various constraints (such as what expertise is needed and when) and preferences (such as which expertise an expert most prefers to exercise).
Autor:
James C. Boerkoel, Edmund H. Durfee
Publikováno v:
Journal of Artificial Intelligence Research. 47:95-156
This research focuses on building foundational algorithms for scheduling agents that assist people in managing their activities in environments where tempo and complex activity interdependencies outstrip people's cognitive capacity. We address the cr