Facilitates multi-agent negotiations, deal evaluations, and auction simulations for optimized outcomes.
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Agent Negotiation is a robust multi-agent negotiation framework developed by MEOK AI Labs. It empowers users to propose deals with specific terms and pricing, evaluate offers based on negotiation theory principles like BATNA, ZOPA, and Nash bargaining solutions, and manage counter-offers to track convergence. The framework also supports running simulated auctions, including English, Vickrey, and Dutch types, for item procurement or sales. It aims to streamline and optimize complex multi-agent interactions.
주요 기능
01Run simulated auctions with various types (English, Vickrey, Dutch)
02Propose deals with terms, pricing, and deadlines
03Evaluate offers using advanced negotiation theory (BATNA, ZOPA, Nash bargaining)
04Submit and track counter-offers to facilitate convergence
05Monitor negotiation status and list active deals
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사용 사례
01Analyzing the viability of offers and counter-offers in negotiation scenarios
02Automating deal-making processes between AI agents or systems
03Simulating different auction types to optimize purchasing or selling strategies
