Neural correspondence to spectrum of environmental uncertainty in multiple-cue probability judgment system with time delay
Despite state-of-the-art technologies like artificial intelligence, human judgment is critically essential in cooperative systems, such as the multi-agent system (MAS), which collect information among agents based on multiple-cue judgment. Human agents can prevent impaired situational awareness of a...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-07-01
|
| Series: | Frontiers in Computational Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fncom.2025.1595278/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849430511585329152 |
|---|---|
| author | Yoo-Sang Chang Younho Seong Sun Yi |
| author_facet | Yoo-Sang Chang Younho Seong Sun Yi |
| author_sort | Yoo-Sang Chang |
| collection | DOAJ |
| description | Despite state-of-the-art technologies like artificial intelligence, human judgment is critically essential in cooperative systems, such as the multi-agent system (MAS), which collect information among agents based on multiple-cue judgment. Human agents can prevent impaired situational awareness of automated agents by confirming situations under environmental uncertainty. System error caused by uncertainty can result in an unreliable system environment, and this environment affects the human agent, resulting in non-optimal decision-making in MAS. Thus, it is necessary to know how human behavior is changed to capture system reliability under uncertainty. Another issue affecting MAS is time delay, which can delay agent information transfer, resulting in low performance and instability. However, it is difficult to find studies on the influence of time delay on human agents. This study is about understanding the human decision-making process under a specific system reliability environment by uncertainty with time delay. We used concepts of expected and unexpected uncertainty to implement reliability of the system usage environment with three types of time delay conditions: no time delay, regular time delay, and irregular time delay conditions. We used electroencephalogram (EEG) for human cognitive neural mechanisms in multiple-cue judgment systems to understand human decision-making. In the reliability of system usage environment, the unreliable system environment significantly creates less memory load by less utilization of system rules for decision-making. In terms of time delay, delayed information delivery does not significantly affect memory load for decision-making. |
| format | Article |
| id | doaj-art-1a26901c76b748b19209ab01b7000c5d |
| institution | Kabale University |
| issn | 1662-5188 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Computational Neuroscience |
| spelling | doaj-art-1a26901c76b748b19209ab01b7000c5d2025-08-20T03:27:58ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882025-07-011910.3389/fncom.2025.15952781595278Neural correspondence to spectrum of environmental uncertainty in multiple-cue probability judgment system with time delayYoo-Sang Chang0Younho Seong1Sun Yi2Department of Industrial and Systems Engineering, North Carolina A&T State University, Greensboro, NC, United StatesDepartment of Industrial and Systems Engineering, North Carolina A&T State University, Greensboro, NC, United StatesDepartment of Mechanical Engineering, North Carolina A&T State University, Greensboro, NC, United StatesDespite state-of-the-art technologies like artificial intelligence, human judgment is critically essential in cooperative systems, such as the multi-agent system (MAS), which collect information among agents based on multiple-cue judgment. Human agents can prevent impaired situational awareness of automated agents by confirming situations under environmental uncertainty. System error caused by uncertainty can result in an unreliable system environment, and this environment affects the human agent, resulting in non-optimal decision-making in MAS. Thus, it is necessary to know how human behavior is changed to capture system reliability under uncertainty. Another issue affecting MAS is time delay, which can delay agent information transfer, resulting in low performance and instability. However, it is difficult to find studies on the influence of time delay on human agents. This study is about understanding the human decision-making process under a specific system reliability environment by uncertainty with time delay. We used concepts of expected and unexpected uncertainty to implement reliability of the system usage environment with three types of time delay conditions: no time delay, regular time delay, and irregular time delay conditions. We used electroencephalogram (EEG) for human cognitive neural mechanisms in multiple-cue judgment systems to understand human decision-making. In the reliability of system usage environment, the unreliable system environment significantly creates less memory load by less utilization of system rules for decision-making. In terms of time delay, delayed information delivery does not significantly affect memory load for decision-making.https://www.frontiersin.org/articles/10.3389/fncom.2025.1595278/fulldecision-makingelectroencephalogramexpected uncertaintyunexpected uncertaintycognitive processmulti-agent system |
| spellingShingle | Yoo-Sang Chang Younho Seong Sun Yi Neural correspondence to spectrum of environmental uncertainty in multiple-cue probability judgment system with time delay Frontiers in Computational Neuroscience decision-making electroencephalogram expected uncertainty unexpected uncertainty cognitive process multi-agent system |
| title | Neural correspondence to spectrum of environmental uncertainty in multiple-cue probability judgment system with time delay |
| title_full | Neural correspondence to spectrum of environmental uncertainty in multiple-cue probability judgment system with time delay |
| title_fullStr | Neural correspondence to spectrum of environmental uncertainty in multiple-cue probability judgment system with time delay |
| title_full_unstemmed | Neural correspondence to spectrum of environmental uncertainty in multiple-cue probability judgment system with time delay |
| title_short | Neural correspondence to spectrum of environmental uncertainty in multiple-cue probability judgment system with time delay |
| title_sort | neural correspondence to spectrum of environmental uncertainty in multiple cue probability judgment system with time delay |
| topic | decision-making electroencephalogram expected uncertainty unexpected uncertainty cognitive process multi-agent system |
| url | https://www.frontiersin.org/articles/10.3389/fncom.2025.1595278/full |
| work_keys_str_mv | AT yoosangchang neuralcorrespondencetospectrumofenvironmentaluncertaintyinmultiplecueprobabilityjudgmentsystemwithtimedelay AT younhoseong neuralcorrespondencetospectrumofenvironmentaluncertaintyinmultiplecueprobabilityjudgmentsystemwithtimedelay AT sunyi neuralcorrespondencetospectrumofenvironmentaluncertaintyinmultiplecueprobabilityjudgmentsystemwithtimedelay |