Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Erin Zaroukian"'
Publikováno v:
Journal of Cognitive Engineering and Decision Making. 17:3-25
When teaming with humans, the reliability of intelligent agents may sporadically change due to failure or environmental constraints. Alternatively, an agent may be more reliable than a human because their performance is less likely to degrade (e.g.,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f99e42bdb9b36559756dc6154c3fb4d7
https://doi.org/10.1177/15553434221129166
https://doi.org/10.1177/15553434221129166
Autor:
Katherine Cox, Laura R. Marusich, Michael N. Geuss, Katelyn Morris, Erin Zaroukian, Jonathan Z. Bakdash
Publikováno v:
Theoretical Issues in Ergonomics Science. 23:221-244
Situation awareness (SA) is a widely used cognitive construct in human factors, often theoretically posited to be a critical causal factor and/or construct for performance. However, there are conce...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dac7e9f42ea84bbb97f205d93618406
https://doi.org/10.1080/1463922x.2021.1921310
https://doi.org/10.1080/1463922x.2021.1921310
Publikováno v:
Cognitive Therapy and Research. 45:310-321
Anger and aggression often result from attributing hostile intent to the ambiguous actions of other people. Two online double-blind parallel randomized pilot studies with healthy adult volunteers tested a novel online cognitive intervention called Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb9051adaffd809a0ba30c20696aa64f
https://doi.org/10.1007/s10608-020-10147-8
https://doi.org/10.1007/s10608-020-10147-8
Autor:
Anjon Basak, Erin Zaroukian, Michael Dorothy, Derrik E. Asher, Piyush K. Sharma, Rolando Fernandez
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
Much work has been dedicated to the exploration of Multi-Agent Reinforcement Learning (MARL) paradigms implementing a centralized learning with decentralized execution (CLDE) approach to achieve human-like collaboration in cooperative tasks. Here, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0426a5a9911716a82d9db885f3b37ba6
https://doi.org/10.1117/12.2585808
https://doi.org/10.1117/12.2585808
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
In adversarial multi-agent paradigms, it is often difficult to describe what is learned by reinforcement-learning agents and to measure the robustness of the learned policies. To achieve a better view, we explore the effect of manipulating agent capa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdca1f8c00a5f3879424fba29d4b2604
https://doi.org/10.1117/12.2585627
https://doi.org/10.1117/12.2585627
Autor:
Zachary I. Bell, Derrik E. Asher, Piyush K. Sharma, Jake Perret, Christopher Hsu, Michael Dorothy, Anjon Basak, Scott A. Nivison, Bryson Howell, Erin Zaroukian, James Humann, Rolando Fernandez
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030680169
Although we have previously observed the emergence of collaboration, or more specifically, coordination between cooperative agents in a Predator-Prey Pursuit task, we have yet to demonstrate this interdependence of agents in a different task domain,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d312f349f59451e965bf48a8d3c7ffa7
https://doi.org/10.1007/978-3-030-68017-6_6
https://doi.org/10.1007/978-3-030-68017-6_6
Autor:
Rolando Fernandez, Sebastian S. Rodriguez, Michael Dorothy, Derrik E. Asher, Erin Zaroukian, James Humann, Brandon S. Perelman
Publikováno v:
Transactions on Computational Science and Computational Intelligence ISBN: 9783030702953
In multi-agent systems, agents’ abilities are often used to classify a system as either homogeneous or heterogeneous. In the context of multi-agent reinforcement learning (MARL) systems, the agents can also be homogeneous or heterogeneous in their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40dd3a21fe00a55614607c2c039d4c54
https://doi.org/10.1007/978-3-030-70296-0_37
https://doi.org/10.1007/978-3-030-70296-0_37
Autor:
Jake Perret, Sebastian S. Rodriguez, Brandon S. Perelman, Derrik E. Asher, Blaine Hoffman, Erin Zaroukian, Rolando Fernandez
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II.
When considering collaboration among agents in multi-agent systems, individual and team measures of performance are used to describe the collaboration. Typically, the definition of collaboration is limited in that it is only indicative of coordinatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c422c22440885abdb352b79ebfcbd87d
https://doi.org/10.1117/12.2559482
https://doi.org/10.1117/12.2559482
Autor:
Jaewook Lee, Harsh Deep, Sebastian S. Rodriguez, Derrik E. Asher, Jacqueline Chen, Erin Zaroukian
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II.
With advances in machine learning, autonomous agents are increasingly able to navigate uncertain operational environments, as is the case within the multi-domain operations (MDO) paradigm. When teaming with humans, autonomous agents may flexibly swit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5ae1dd0be9352936ddeffd9f81c2489
https://doi.org/10.1117/12.2559474
https://doi.org/10.1117/12.2559474
Autor:
Jonathan Z Bakdash, Laura Ranee Marusich, Katherine Cox, Michael Geuss, Erin Zaroukian, Katelyn Morris
SA is a widely used cognitive construct in human factors, summarized as “knowing what is going on.” Generally, SA is theoretically posited to be a critical causal factor and/or construct for performance. However, some researchers have raised conc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d096e98796012d15c9ecfaf32076dab
https://psyarxiv.com/kv7n3
https://psyarxiv.com/kv7n3