Distributed Artificial Intelligence Conference DAI 2024 Call for Papers: Agent Day, Richard Sutton, the father of reinforcement learning, will attend! Yan Shuicheng, Sergey Levine and DeepMind scientists will give keynote speeches

Conference Introduction With the rapid development of science and technology, artificial intelligence has become an important force in promoting social progress. In this era, we are fortunate to witness and participate in the innovation and application of Distributed Artificial Intelligence (DAI). Distributed artificial intelligence is an important branch of the field of artificial intelligence, which has attracted more and more attention in recent years. Agents based on large language models (LLM) have suddenly emerged. By combining the powerful language understanding and generation capabilities of large models, they have shown great potential in natural language interaction, knowledge reasoning, task planning, etc. AI Agent is taking over the big language model and has become a hot topic in the current AI circle. The application potential of large language model agents such as Auto-GPT, AutoGen, HuggingGPT, LangChain Agent, etc. in different fields, from games and programming to daily task automation, is gradually changing the way we interact with technology and will play a more important role in the future. . In 2019, some internationally renowned scholars in the field of multi-agent systems launched the International Distributed Artificial Intelligence Academic Conference - DAI, committed to creating a high-level international exchange platform that connects relevant research groups at home and abroad, bringing together experts from different fields Researchers and practitioners in areas including general artificial intelligence, multi-agent systems, distributed learning, and computational game theory. By providing a high-standard, internationally renowned forum, DAI promotes research on the theory and practice of distributed artificial intelligence. To date, DAI has been successfully held in Beijing, Nanjing, Shanghai, Tianjin, Singapore and other places. DAI 2024 - The 6th International Conference on Distributed Artificial Intelligence will be held in Singapore from December 18 to December 22, 2024. This event will bring together the world's top researchers and practitioners to discuss and share the latest research results and practical experiences of distributed AI. In addition to the high-level submissions to the conference, DAI 2024 also invited the authors of papers from top conferences in the field of artificial intelligence (such as NeurIPS, ICML, ICLR, AAAI, etc.) from major universities and research institutions at home and abroad to give on-site reports, aiming to present them to everyone A feast in the field of top artificial intelligence. DAI 2024 conference website: http://www.adai.ai/dai/2024/call-for-workshop.html This conference invited heavyweight guests who will bring Keynote, academic experts, and industry leaders. Richard S. Sutton, known as the "godfather of reinforcement learning". As a leader in the field of reinforcement learning, Professor Sutton’s participation is expected to attract the attention of global AI researchers and practitioners. Professor Sutton is a professor in the Department of Computer Science at the University of Alberta, principal investigator of the Reinforcement Learning and Artificial Intelligence Laboratory, chief scientific advisor of the Alberta Machine Intelligence Institute, and senior fellow of CIFAR. The "Alberta Plan" he proposed aims to pass environmental Interactive learning creates long-lived computational agents that interact with the complex world and predict and control their sensory input signals, driving intelligent systems to learn from world models. Sergey Levine, an associate professor in the Department of Electrical Engineering and Computer Science at UC Berkeley, focuses on algorithms that enable Autonomous Agents to acquire complex behaviors through learning, especially general methods that enable any autonomous system to learn to solve any task. Sergey is a master in the field of reinforcement learning and a famous professor at UC Berkeley. . Georgios Piliouras is a Google DeepMind research scientist and the leader of the Google DeepMind game theory team. His research interests are in the areas of multi-agent learning, algorithmic game theory, blockchain and dynamical systems. Yan Shuicheng is the president of Kunlun 2050 Global Research Institute and co-CEO of Tiangong Intelligence. Dr. Gan Shui Seng is an academician of the Singapore Academy of Engineering and a fellow of AAAI, ACM, IEEE and IAPR. His research areas include computer vision, machine learning, and multimedia analysis. The attendance and speeches of experts and scholars will provide profound insights into the latest research and development trends in the field of distributed artificial intelligence. Conference Features Conference Highlight 1: A strong lineup of special guest reports

Sergey Levine: Associate Professor at the University of California, Berkeley

Georgios Piliouras: Google DeepMind Research Scientist

Richard S. Sutton: Professor at the University of Alberta

Yan Shuicheng: Kunlun Director of 2050 Global Research Institute, Co-CEO of Tiangong Intelligence

Highlight 2 of the conference: The conference specially set up "Agent Day"

In order to further promote the application and popularization of agent technology, DAI 2024 specially set up "Agent Day" )", aiming to showcase the practical applications of intelligent agent technology in various industries, as well as innovative cases of interaction with humans. On this day, attendees will have the opportunity to experience a feast of reports and exchanges on multiple topics including large language model agents, multi-agent systems, human-computer collaboration and interaction, etc.

Attendees will have the opportunity to participate in intelligent agent technology demonstrations and special seminars. Covers the latest multi-agent systems and application cases, including robot collaboration, automated decision support systems, etc. Industry experts and scholars conducted in-depth discussions on the development trends, challenges and future prospects of intelligent agent technology.

「インテリジェントデイ」はカンファレンスのハイライトとなり、参加者にインテリジェントテクノロジーを体験し、深く理解する機会を提供し、学界と産業界の交流と協力を促進するプラットフォームでもあります。

カンファレンスのハイライト 3: 数十のトップレベルのカンファレンス レポート

このカンファレンスは、マルチエージェント システム、大規模言語モデル、強化学習、ゲー​​ム理論、機械学習、ロボット学習をカバーするトップレベルのカンファレンス レポートを特別に編成しました。ディープラーニングやモデルなどの分野、NeurIPS、ICLR、ICML、AAAI、CoRL、WWW、AAMAS などの国内外の一流学会誌からの数十件の質の高い学術論文。

論文募集

DAI 2024カンファレンスコールでは、以下を含むがこれらに限定されない幅広いトピックに関する論文を募集します:

エージェントの協力:

• 生物学にインスピレーションを得たアプローチと方法
• 集合知
• 分散型問題解決
teamwork、チームの形成、チームワーク分析
• コーリション形成（非戦略）マルチユーザー/マルチ仮想エージェントのインタラクション
• 人間と競合するエージェント
• 人間の相互作用のエージェントベースの分析
• 人間の協力活動を改善するためのエージェント

シングル/マルチエージェント学習:

学習に対する報酬構造
• マルチエージェント学習
• 強化学習
• 深層学習
• 敵対的機械学習

計算ゲーム理論:

ゲームのアルゴリズムの複雑さ
• ゲームの実用的なアルゴリズム
• ゲームの行動モデル
• セキュリティ ゲーム
• 経済学と計算:

オークションとメカニズム設計

市場設計と応用
• 社会選択理論
• 実際の応用のためのゲーム理論
• ブロックチェーンシステムの経済学

理論的、実証的、視点の提出を奨励しますAI 分野における深い理解と応用を促進するための論文の分散。提出されたすべての論文は、会議内容の高い品質と学術的価値を保証するために、厳格な査読を受けます。

組織委員会

• この会議は、南洋理工大学の安保教授とイスラエルのバルイラン大学のサリット・クラウス教授が共同議長を務めます。さらに、組織委員会には、この分野で著名な学者も多数含まれています。
• プログラム委員会の共同議長: 北京大学のYang Yaodong教授、英国ウォーリック大学のLong Tran-Thanh教授
• セミナー/講義の共同議長: 上海交通大学のZhang Weinan教授、ブライアン教授アメリカ、カーネギーメロン大学のワイルダー氏
• 後援共同議長: 南京大学のYu Yang教授
• 広報共同議長: 上海理工大学のZhao Dengji教授

出版共同議長: 上海交通大学のChen Siheng教授

現地組織共同議長: シンガポール管理大学のWang Xinrun教授

連絡先情報

カンファレンスコール全文の論文提出日は2024年8月25日から9月10日まで、論文通知日は10月5日です、2024年。提出に関してご質問がある場合は、次のメールでお問い合わせください:

Yaodong Yang: yaodong.yang@pku.edu.cn

Long Tran-Thanh: long.tran-thanh@warwick.ac.uk

分散型人工知能の未来を目撃し、形作るために、皆様のご参加をお待ちしております。詳細については、DAI2024 公式 Web サイト http://www.adai.ai/dai/2024/index.html にアクセスして、提出物の準備をしてください。論文を提出するには、EasyChair の Web サイトにログインしてください: https://easychair.org/conferences/?conf=dai20240

DAI 2024 では、分散型人工知能の未来を共同で探索し促​​進するために、皆様のご参加をお待ちしております。

The above is the detailed content of Distributed Artificial Intelligence Conference DAI 2024 Call for Papers: Agent Day, Richard Sutton, the father of reinforcement learning, will attend! Yan Shuicheng, Sergey Levine and DeepMind scientists will give keynote speeches. For more information, please follow other related articles on the PHP Chinese website!