An Efficient Open World Environment for Multi-Agent Social Learning
专题命中 多智能体 :agent(title,abstract);multi-agent(title,abstract);AI agent(abstract);tool use(abstract)
AI 大模型
智能体、工具调用、规划、工作流、多智能体和自主任务执行。
专题命中 多智能体 :agent(title,abstract);multi-agent(title,abstract);AI agent(abstract);tool use(abstract)
专题命中 多智能体 :agent(title,abstract);multi-agent(title);分类 cs.AI
机构 * Aptima, Inc.(Aptima公司) ; Human Systems Engineering, Arizona State University(亚利桑那州立大学人类系统工程系) ; Language Technologies Institute, Carnegie Mellon University(卡内基梅隆大学语言技术研究所)
专题命中 多智能体 :agentic(abstract,comments);agent(abstract);AI agent(abstract);分类 cs.AI、cs.CL
Comments Presented at the KDD 2025 Workshop on Evaluation and Trustworthiness of Agentic and Generative AI Models under the title "Evaluating the LLM-simulated Impacts of Big Five Personality Traits and AI Capabilities on Social Negotiations" (https://kdd-eval-workshop.github.io/genai-evaluation-kdd2025/assets/papers/Submission%2036.pdf)
机构 * University of Southern Denmark(丹麦南部大学)
专题命中 多智能体 :agent(abstract);multi-agent(abstract);分类 cs.AI
Comments FAIEMA 2025
专题命中 多智能体 :agent(abstract);multi-agent(abstract)
专题命中 多智能体 :agent(abstract);multi-agent(abstract)
Comments 65 pages, 24 figures, and 1 table
Journal ref Journal of Computational Physics, 2025, 114306