How Trust Influences the Emergence of Collective Intelligence? A Group Dynamic Perspective

Article ID

6Q8WT

High-quality research on trust and AI cooperation.

How Trust Influences the Emergence of Collective Intelligence? A Group Dynamic Perspective

Deqiang Hu
Deqiang Hu Dalian University of Technology
Yanzhong Dang
Yanzhong Dang
Xin Yue
Xin Yue
DOI

Abstract

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. And these two mechanisms played the role of “valve” controlling knowledge flow and “bridge” connecting individuals respectively, which can better explain how trust influences the emergence of CI. Finally, we found that appropriate conflict is beneficial to collective intelligence.

How Trust Influences the Emergence of Collective Intelligence? A Group Dynamic Perspective

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. And these two mechanisms played the role of “valve” controlling knowledge flow and “bridge” connecting individuals respectively, which can better explain how trust influences the emergence of CI. Finally, we found that appropriate conflict is beneficial to collective intelligence.

Deqiang Hu
Deqiang Hu Dalian University of Technology
Yanzhong Dang
Yanzhong Dang
Xin Yue
Xin Yue

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Deqiang Hu. 2026. “. Global Journal of Computer Science and Technology – G: Interdisciplinary GJCST-G Volume 23 (GJCST Volume 23 Issue G2): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-G Classification: (ACM): H.4
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How Trust Influences the Emergence of Collective Intelligence? A Group Dynamic Perspective

Deqiang Hu
Deqiang Hu Dalian University of Technology
Yanzhong Dang
Yanzhong Dang
Xin Yue
Xin Yue

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