Abstract
A platform mediates commerce between autonomous buyer and seller agents by treating recommendation as structured negotiation. The platform receives structured buyer requirements including hard constraints and preference information, and structured seller offers including multi-attribute flexibility ranges for terms such as price, delivery, warranty, and bundling. Compatibility scores are computed to select feasible matches and initiate a multi-round proposal and counter-proposal protocol. When negotiations stall, the platform computes or approximates Pareto-efficient candidate agreements and may select a bargaining-based compromise point. The platform may apply surplus-based fees and incentive-compatible transfer logic and may maintain credibility scores from observed negotiation behavior. Negotiation outcomes are logged to train models that predict deal success, guide opening proposals, and improve future matching. The platform may coordinate multi-seller coalitions for bundle requests with Shapley-based surplus division and may support human oversight with configurable autonomy bounds.
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Recommended Citation
Anonymous, "Negotiation-Mediated Recommendation Platform for Autonomous Agent Commerce", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10729