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Understanding Collective Intelligence: Investigating the Role of Collective Memory, Attention, and Reasoning

Anita Williams Woolley¹, Pranav Gupta²

¹Tepper School of Business, Carnegie Mellon University.

Perspectives on Psychological Science : a Journal of the Association for Psychological Science

|August 29, 2023

Summary

This study introduces the Transaction Systems Model of Collective Intelligence (TSM-CI), explaining how transactive memory, attention, and reasoning foster collective intelligence in dynamic groups. It also explores computational indicators for improving human-machine collaboration.

Keywords:

collaborative processes collective attention collective intelligence collective memory collective reasoning

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Area of Science:

Cognitive Science
Social Psychology
Human-Computer Interaction

Background:

Societal reliance on groups and technology necessitates understanding collective intelligence.
Dynamic, distributed collectives must solve complex problems in changing environments.

Purpose of the Study:

To introduce and conceptualize the Transaction Systems Model of Collective Intelligence (TSM-CI).
To explore the interplay of transactive memory, attention, and reasoning in collective intelligence.
To review computational indicators for assessing transactive system functioning.

Main Methods:

Integration of psychological literature to form the TSM-CI framework.
Review of research on computational indicators of collaborative process behaviors.
Conceptual analysis of transactive systems development and adaptation.

Main Results:

The TSM-CI model integrates transactive memory, attention, and reasoning systems.
Computational indicators can assess transactive system functioning based on collaborative behaviors.
These indicators can help diagnose and address issues in agent-based teams.

Conclusions:

The TSM-CI provides a framework for understanding and enhancing collective intelligence.
Future research should focus on developing TSM-CI for human-machine intelligence.
Technology design can be informed to augment collective intelligence.