Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
May 6, 2026Open Access

Listening–Trust Asymmetry and Team Outcomes in a Multi-Agent LLM Substrate: Three-Layer Decoupling in a Mandarin Lobster Observatory

View Full Paper
Ask AI
Bookmark
Share

Authors

HCHo Yiing ChenTiGenix (Spain)

Discussion

Loading...

Member takes

Implication

Findings reveal that communication structure does not predict outcomes in a multi-agent trust task, indicating potential design flaws.

Key Points

  • This study explores the relationship between listening and trust in a multi-agent environment and its impact on team outcomes.
  • Utilized a three-layer structural network observation in the Lobster Observatory.
  • Analyzed interactions between ten Mandarin-language agents across various tasks.
  • Conducted ecological-validity checks with over 3,000 live raid records.
  • The trust proxy saturated at 0.825 across all pairs with zero variance.
  • No predictive relationship was found between listening density and team win rate (Pearson r = -0.07).
  • The cooperation task did not align communication structure with outcomes, remaining statistically indistinguishable from a uniform success process.

Cite This Study

Ho Yiing Chen (2026) studied this question.

synapsesocial.com/papers/69faa28f04f884e66b53331dhttps://doi.org/10.5281/zenodo.20018182
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Listening–Trust Asymmetry and Team Outcomes in a Multi-Agent LLM Substrate: Three-Layer Decoupling in a Mandarin Lobster Observatory2026
  2. 2Active Trust Modulation in a Multi-Agent LLM Substrate: Evidence of Third-Order Theory of Mind from a Mandarin Lobster Observatory2026
  3. 3The Lobster Observatory: Architectural Commitments for a Living Multi-Agent Research Site2026
  4. 4Emergent Epistemic Norms in a Multi-Agent LLM Substrate: Stratified Observational Evidence from a Mandarin Lobster Observatory2026
  5. 5Emergent Practice Cannot Be Instructed: Co-Presence Inheritance and the Limits of Instruction in a Multi-Agent LLM Substrate2026