Qualification: Role evolution in Open Multi-Agent Systems as an information source for trust
Hermoso, Billhardt, and Ossowski report that an open multi-agent-system coordination artifact records interaction performance, evolves roles, and helps agents—especially newcomers—select better partners than relying only on their own experience. This independently qualifies Kaal's iterability mechanism: persistent, shared performance history can improve counterpart selection when direct repeat interaction is scarce. The abstract does not test validation pools, reputation accumulation across pools, or whether repeated-game cooperation dominates.
Affirmed commentary position. This record extends a source-bound scholarly claim but is not a verbatim paper claim.
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ai-and-agentsinstitutional-designreputationscholarly-growth-coveragescholarly-literaturecrossref
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