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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
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Human collective intelligence under dual exploration-exploitation dilemmas.
Wataru Toyokawa1, Hye-rin Kim2, Tatsuya Kameda3
1Department of Behavioral Science, Hokkaido University, Sapporo, Hokkaido, Japan; Japan Society for the Promotion of Science, Tokyo, Japan.
Plos One
|April 24, 2014
Summary
Human groups successfully navigate exploration-exploitation dilemmas using social learning. Sharing simple choice data reduces exploration time and boosts collective performance, demonstrating emergent collective intelligence.
Area of Science:
- Behavioral economics
- Cognitive science
- Social psychology
Background:
- The exploration-exploitation dilemma presents a fundamental trade-off between seeking new opportunities and utilizing known ones, crucial for optimizing performance under uncertainty.
- While eusocial insects exhibit evolved collective mechanisms for this dilemma, humans face individual and group-level challenges, including potential 'information scrounging' via social learning.
- Social learning can reduce exploration costs but risks undermining benefits if individuals disproportionately benefit from others' discoveries.
Purpose of the Study:
- To experimentally investigate whether social learning opportunities enhance the performance of human groups facing the exploration-exploitation dilemma.
- To assess the impact of different types of social information (choice frequency vs. evaluations) on group decision-making and collective intelligence.
- To determine if human groups can effectively manage the dual exploration-exploitation dilemmas at both individual and group levels.
Main Methods:
- Human participants engaged in a group 'multi-armed bandit' task, a decision-making problem involving exploration and exploitation.
- Experimental conditions varied the availability of social learning information, specifically choice-frequency data and/or observed evaluations of chosen options.
- Group performance, exploration time, and resource harvesting were measured across different social learning conditions.
Main Results:
- Social learning opportunities significantly reduced total group exploration time and increased harvesting from better options, thereby improving overall collective performance.
- Despite the frequent emergence of 'information scroungers,' groups with social learning capabilities outperformed those without.
- Enriching social information by including observed evaluations (akin to rating systems) negatively impacted performance compared to using only choice-frequency data.
Conclusions:
- Human groups can effectively manage the dual exploration-exploitation dilemmas inherent in decision-making under uncertainty.
- Social learning, particularly through the sharing of simple choice-frequency information, facilitates collective intelligence and improves group performance.
- The type and richness of social information critically influence the effectiveness of social learning in group decision-making contexts.
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