Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Collective intelligence (CI) is critical for groups to solve a variety of problems. Such emergent property of the group as a whole is the result of group interaction processes that may inevitably lead to different cognition, collaboration and relationship between individuals, even conflict within group. A key question concerning problem solving is whether and how conflict influences the emergency of collective intelligence. Here, we used trust and distrust to indicate harmony and conflict state of the group. We utilized agent-based modeling to examine the emergent outcomes resulting from trust-based group interaction. Our results support the conclusion that CI emerges in moderate task complexity conditions. We further showed that the maximum level of CI is predicted by distrust. We also found that trust-based positive and negative feedback mechanism worked simultaneously in group problem solving process.
Deqiang Hu. 2026. \u201cHow Trust Influences the Emergence of Collective Intelligence? A Group Dynamic Perspective\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 23 (GJCST Volume 23 Issue G2): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 133
Country: China
Subject: Global Journal of Computer Science and Technology - G: Interdisciplinary
Authors: Deqiang Hu, Yanzhong Dang, Xin Yue (PhD/Dr. count: 0)
View Count (all-time): 264
Total Views (Real + Logic): 2058
Total Downloads (simulated): 34
Publish Date: 2026 01, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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Collective intelligence (CI) is critical for groups to solve a variety of problems. Such emergent property of the group as a whole is the result of group interaction processes that may inevitably lead to different cognition, collaboration and relationship between individuals, even conflict within group. A key question concerning problem solving is whether and how conflict influences the emergency of collective intelligence. Here, we used trust and distrust to indicate harmony and conflict state of the group. We utilized agent-based modeling to examine the emergent outcomes resulting from trust-based group interaction. Our results support the conclusion that CI emerges in moderate task complexity conditions. We further showed that the maximum level of CI is predicted by distrust. We also found that trust-based positive and negative feedback mechanism worked simultaneously in group problem solving process.
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