Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Keum Joo Kim"'
Publikováno v:
Entropy, Vol 24, Iss 10, p 1364 (2022)
Despite the increasing applications, demands, and capabilities of drones, in practice they have only limited autonomy for accomplishing complex missions, resulting in slow and vulnerable operations and difficulty adapting to dynamic environments. To
Externí odkaz:
https://doaj.org/article/e776ed09f51a4e29b40b1c22898d8e9c
Autor:
Keum Joo Kim, Eugene Santos
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 66:450-454
Inverse reinforcement learning (IRL) is a useful tool for building autonomous agents capable of making decisions by learning from the behavioral records of human decision-makers. Incorporating individual differences into multi-agent systems can be ke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::410ffbcab59f91471cb3064bb445a159
https://doi.org/10.1177/1071181322661003
https://doi.org/10.1177/1071181322661003
Autor:
Eun Jeong Choi, Keum Joo Kim
Publikováno v:
Korean Association For Learner-Centered Curriculum And Instruction. 22:623-639
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cd23b526fdb4c945c0dc09d77386d9f
https://doi.org/10.22251/jlcci.2022.22.1.623
https://doi.org/10.22251/jlcci.2022.22.1.623
Effects of the Five-Senses Play Using Water on Playfulness and Socioemotional Development of Toddler
Autor:
So-Hyun Myung, Keum-Joo Kim
Publikováno v:
The Journal of Future Early Childhood Education. 27:45-67
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58f149408522127c99220c898d0cc526
https://doi.org/10.22155/jfece.27.1.45.67
https://doi.org/10.22155/jfece.27.1.45.67
Autor:
Keum-Joo Kim
Publikováno v:
International Journal of Advanced Science and Technology. 124:33-46
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e80d7793a694e773bfd69d7a23d5d222
https://doi.org/10.33832/ijast.2019.124.03
https://doi.org/10.33832/ijast.2019.124.03
Publikováno v:
Systems Engineering and Artificial Intelligence ISBN: 9783030772826
The adoption of human-machine teams is rapidly expanding in many domains such as healthcare and disaster relief. Fueled by novel advances in robotics, artificial intelligence, and other technologies, machines with relatively high degrees of autonomy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6e5f733b03dc35644c4188a0ed3985c
https://doi.org/10.1007/978-3-030-77283-3_14
https://doi.org/10.1007/978-3-030-77283-3_14
Publikováno v:
WI/IAT
To keep up with the world’s increasing complexity, we need ever-more sophisticated computational models that can help to make wiser decisions and accurately predict potential consequences. Validating and explaining these models is difficult, but ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5143676d21623cbd0389516d802ac71a
https://doi.org/10.1109/wiiat50758.2020.00088
https://doi.org/10.1109/wiiat50758.2020.00088
Publikováno v:
WI
Understanding the human decision-making process and evaluating the quality of these decisions has been the focus of many researchers. Previously, we proposed a computational, cognitive framework called the Double Transition Model (DTM) to study human
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4c1d22238512e6ab6045f5d58c5d8ff
https://doi.org/10.1145/3350546.3352515
https://doi.org/10.1145/3350546.3352515
Autor:
Keum Joo Kim, Eugene Santos, B. Clark, Adam Olson, Deqing Li, John T. Wilkinson, J. Russell, Hien Nguyen, Fei Yu
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 42:331-347
In the intelligence community, the existence of a malicious insider poses a severe threat to information, to the actual analytic process, and, ultimately, to any decision-making process relying on such information and analyses. An analyst with malici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6030091aaf6688b9b9fefc7bb48e141
https://doi.org/10.1109/tsmca.2011.2162500
https://doi.org/10.1109/tsmca.2011.2162500
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 18:413-432
In this article, we present a general representation for constraint satisfaction problems with disjunctive relations called cluster constraint systems (CCS). For this representation, we develop a novel and simple approach for solving CCSs using conve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e96eb151d7432a8caec06312433b091f
https://doi.org/10.1080/09528130600926082
https://doi.org/10.1080/09528130600926082