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This paper models a question-answering forum staffed by expert knowledge workers, studying optimal scheduling to maximize system capacity and stability.
This paper presents a contextual multi-armed bandit framework that learns individual spillover probabilities in social networks to optimize stimulated word-of-mouth marketing, achieving higher rewards by targeting connected users.
This study analyzes how personality, model backbone, and guardrails influence the emergent social behavior of deployed AI agents on the Moltbook platform, finding that personality specification is the dominant factor.