Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Celso M. de Melo"'
Publikováno v:
iScience, Vol 26, Iss 11, Pp 108063- (2023)
Summary: The difficulties associated with solving Humanity’s major global challenges have increasingly led world leaders and everyday citizens to publicly adopt strong emotional responses, with either mixed or unknown impacts on others' actions. He
Externí odkaz:
https://doaj.org/article/beedfa348c80499e938ef934ebc6b2fb
Publikováno v:
iScience, Vol 24, Iss 3, Pp 102141- (2021)
Summary: The emergence of pro-social behaviors remains a key open challenge across disciplines. In this context, there is growing evidence that expressing emotions may foster human cooperation. However, it remains unclear how emotions shape individua
Externí odkaz:
https://doaj.org/article/2ef8a2fa263946fa9e96effe1e38528d
Publikováno v:
iScience, Vol 24, Iss 3, Pp 102228- (2021)
Summary: Autonomous machines are poised to become pervasive, but most treat machines differently: we are willing to violate social norms and less likely to display altruism toward machines. Here, we report an unexpected effect that those impacted by
Externí odkaz:
https://doaj.org/article/c2fff680995a4ede9e7a6706bb211726
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2021)
As autonomous machines, such as automated vehicles (AVs) and robots, become pervasive in society, they will inevitably face moral dilemmas where they must make decisions that risk injuring humans. However, prior research has framed these dilemmas in
Externí odkaz:
https://doaj.org/article/b2e481bc347946ad8a08b004ba805d0d
Reducing Cognitive Load and Improving Warfighter Problem Solving With Intelligent Virtual Assistants
Publikováno v:
Frontiers in Psychology, Vol 11 (2020)
Recent times have seen increasing interest in conversational assistants (e.g., Amazon Alexa) designed to help users in their daily tasks. In military settings, it is critical to design assistants that are, simultaneously, helpful and able to minimize
Externí odkaz:
https://doaj.org/article/039744bfd1a34b59a66dc4ad5a76b9d0
Publikováno v:
Proceedings of the IEEE. :1-16
Autor:
Celso M. de Melo, Antonio Torralba, Leonidas Guibas, James DiCarlo, Rama Chellappa, Jessica Hodgins
Publikováno v:
Trends in Cognitive Sciences. 26:174-187
Deep learning (DL) is being successfully applied across multiple domains, yet these models learn in a most artificial way: they require large quantities of labeled data to grasp even simple concepts. Thus, the main bottleneck is often access to super
Automatic Target Recognition (ATR) is a category of computer vision algorithms which attempts to recognize targets on data obtained from different sensors. ATR algorithms are extensively used in real-world scenarios such as military and surveillance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::202df9283ccfff7ca2a0ea5fb761c63a
Autor:
Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso M. de Melo, Suya You, Stefano Soatto, Alex Wong, Achuta Kadambi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200700
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48f0a9df03b8f4962241f7293c427760
https://doi.org/10.1007/978-3-031-20071-7_42
https://doi.org/10.1007/978-3-031-20071-7_42
Autor:
Ion Juvina, Othalia Larue, Celso M. de Melo, Michael G. Collins, Ewart J. de Visser, William G. Kennedy
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 9:1-33
A proposal for a unified theory of learned trust implemented in a cognitive architecture is presented. The theory is instantiated as a computational cognitive model of learned trust that integrates several seemingly unrelated categories of findings f