Results from the Automated Negotiating Agents Competition (ANAC 2020)
收藏4TU.ResearchData2022-02-16 更新2026-04-23 收录
下载链接:
https://data.4tu.nl/articles/_/19175684
下载链接
链接失效反馈官方服务:
资源简介:
The Automated Negotiating Agent Competition (ANAC) is an international tournament that has been running since 2010 to bring together researchers from the negotiation community.In 2020, ANAC had five different negotiation research challenges: Agent Negotiation and Elicitation (GeniusWeb framework)Human-Agent Negotiation (IAGO framework)Werewolf Game (AIWolf Framework)Supply Chain Management (NegMas framework)HUMAINE (HUman Multi-Agent Immersive NEgotiation)This dataset contains the results from the Automated Negotiating Agents Competition 2020, including the domains used in the tournament and overall individual utility calculations.
自动化谈判智能体竞赛(Automated Negotiating Agent Competition,ANAC)是一项自2010年起举办的国际赛事,旨在汇聚谈判研究领域的学者。2020年,该赛事共设置五项谈判研究挑战:智能体谈判与偏好征询(GeniusWeb框架)、人类-智能体谈判(IAGO框架)、狼人杀博弈(AIWolf框架)、供应链管理(NegMas框架)以及HUMAINE(人类多智能体沉浸式谈判,HUman Multi-Agent Immersive NEgotiation)。本数据集收录了2020年自动化谈判智能体竞赛的全部赛事结果,涵盖赛事所使用的谈判领域配置,以及个体效用的整体计算数据。
创建时间:
2022-02-16



