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Dynamic Graph Algorithms (Dagstuhl Seminar 22461) 动态图算法(Dagstuhl Seminar 22461)

Dagstuhl reports Pub Date : 2022-01-01 DOI: 10.4230/DagRep.12.11.45

A. Bernstein, S. Chechik, S. Forster, T. Kopelowitz, Yasamin Nazari, Nicole Wein

引用次数: 0

Challenges and Opportunities of Democracy in the Digital Society (Dagstuhl Seminar 22361) 数字社会中民主的挑战与机遇(Dagstuhl Seminar 22361)

Dagstuhl reports Pub Date : 2022-01-01 DOI: 10.4230/DagRep.12.9.1

Abraham Bernstein, Anita R. Gohdes, Cristina Sarasua, Steffen Staab, B. Noveck

引用次数: 1

Model-Driven Engineering of Digital Twins (Dagstuhl Seminar 22362) 数字孪生模型驱动工程(Dagstuhl Seminar 22362)

Dagstuhl reports Pub Date : 2022-01-01 DOI: 10.4230/DagRep.12.9.20

L. Cleophas, T. Godfrey, D. Khelladi, Daniela Lehner, B. Combemale, Bernhard Rumpe, S. Zschaler

引用次数: 2

Computer Science Methods for Effective and Sustainable Simulation Studies (Dagstuhl Seminar 22401) 有效和可持续模拟研究的计算机科学方法(Dagstuhl Seminar 22401)

Dagstuhl reports Pub Date : 2022-01-01 DOI: 10.4230/DagRep.12.10.1

Wentong Cai, C. Carothers, D. Nicol, A. Uhrmacher

{"title":"Computer Science Methods for Effective and Sustainable Simulation Studies (Dagstuhl Seminar 22401)","authors":"Wentong Cai, C. Carothers, D. Nicol, A. Uhrmacher","doi":"10.4230/DagRep.12.10.1","DOIUrl":"https://doi.org/10.4230/DagRep.12.10.1","url":null,"abstract":"This report documents the program and the (preliminary) outcomes of Dagstuhl Seminar 22401 “Computer Science Methods for Effective and Sustainable Simulation Studies”. The seminar has been dedicated to addressing central methodological challenges in conducting effective and sustainable simulation studies. Lightning talks provided the opportunity for participants to present their current research and ideas to advance methodological research in modeling and simulation. However, the lion’s share of the seminar was dedicated to working groups. One working group investigated how machine learning and modeling and simulation can be effectively integrated (Intelligent Modeling and Simulation Lifecycle). Another working group focused on methodological challenges to support policy via simulation (Policy by simulation: seeing is believing for interactive model co-creation and effective intervention). A third working group identified 4 challenges closely tied to the quest for sustainable simulation studies (Context, composition, automation, and communication – towards sustainable simulation studies) thereby, focusing on the role of model-based approaches and related methods. Seminar October 3–7, 2022 – http://www.dagstuhl.de/22401 2012 ACM Subject Classification Computing methodologies","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"1-60"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70435348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Developmental Machine Learning: From Human Learning to Machines and Back (Dagstuhl Seminar 22422) 发展性机器学习:从人类学习到机器学习再到机器学习(Dagstuhl Seminar 22422)

Dagstuhl reports Pub Date : 2022-01-01 DOI: 10.4230/DagRep.12.10.143

J. Rehg, Pierre-Yves Oudeyer, Linda B. Smith, S. Tsuji, Stefan Stojanov, Ngoc Anh Thai

{"title":"Developmental Machine Learning: From Human Learning to Machines and Back (Dagstuhl Seminar 22422)","authors":"J. Rehg, Pierre-Yves Oudeyer, Linda B. Smith, S. Tsuji, Stefan Stojanov, Ngoc Anh Thai","doi":"10.4230/DagRep.12.10.143","DOIUrl":"https://doi.org/10.4230/DagRep.12.10.143","url":null,"abstract":"This interdisciplinary seminar brought together 18 academic and industry computer science researchers in artificial intelligence, computer vision and machine learning with 19 researchers from developmental psychology, neuroscience and linguistics. The objective was to catalyze connections between these communities, through discussions on both how the use of developmental insights can spur advances in machine learning, and how computational models and data-driven learning can lead to novel tools and insights for studying child development. The seminar consisted of tutorials, working groups, and a series of talks and discussion sessions. The main outcomes of this seminar were 1) The founding of DevelopmentalAI (http://www.developmentalai.com), an online research community to serve as a venue for communication and collaboration between develpomental and machine learning researchers, as well as a place collect and organize relevant research papers and talks; 2) Working group outputs – summaries of in-depth discussions on research questions at the intersection of developmental and machine learning, including the role of information bottlenecks and multimodality, as well as proposals for novel developmentally motivated benchmarks.","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"143-165"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70435417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization at the Second Level (Dagstuhl Seminar 22441) 第二层次的优化(Dagstuhl Seminar 22441)

Dagstuhl reports Pub Date : 2022-01-01 DOI: 10.4230/DagRep.12.10.207

L. Brotcorne, C. Buchheim, D. Hertog, Dorothee Henke

引用次数: 1

Counting and Sampling: Algorithms and Complexity (Dagstuhl Seminar 22482) 计数和抽样:算法和复杂性(Dagstuhl研讨会22482)

Dagstuhl reports Pub Date : 2022-01-01 DOI: 10.4230/DagRep.12.11.124

Holger Dell, M. Jerrum, H. Müller, Konrad Anand, Marcus Pappik

引用次数: 0

Radical Innovation and Design for Connected and Automated Vehicles (Dagstuhl Seminar 22222) 互联和自动驾驶汽车的突破性创新与设计(Dagstuhl Seminar 22222)

Dagstuhl reports Pub Date : 2022-01-01 DOI: 10.4230/DagRep.12.5.188

Wendy Ju, Bastian Pfleging, A. Riener

{"title":"Radical Innovation and Design for Connected and Automated Vehicles (Dagstuhl Seminar 22222)","authors":"Wendy Ju, Bastian Pfleging, A. Riener","doi":"10.4230/DagRep.12.5.188","DOIUrl":"https://doi.org/10.4230/DagRep.12.5.188","url":null,"abstract":"This report documents the program and the outcomes of Dagstuhl Seminar 22222 “Radical Innovation and Design for Connected and Automated Vehicles”. Automated driving will most likely be the next big change in individual mobility. While research is still primarily concerned with technical challenges of Automated Driving Systems (ADS), HCI researchers and designers already started to develop concepts on how to use privately owned ADS as a space for non-driving-related activities, going beyond what is possible today. There is, however, room to think about creative ways to use automated vehicles (AV) and connected technology towards the public interest beyond incremental changes, which is what we addressed in this seminar. We challenged the current generative/evaluative research approach for automated driving systems against a radical innovations attempt and questioned whether the current incremental research approach is appropriate for the development of future vehicles. As an integral part of the seminar we wanted participants to learn from each other and to disseminate each individual’s experience for boosting subsequent research by trying out different methods that support the “out of the box” thinking (e.g., brainwriting, bodystorming, focus groups, World Café, amongst others).","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"188-230"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70436667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Efficient and Equitable Natural Language Processing in the Age of Deep Learning (Dagstuhl Seminar 22232) 深度学习时代高效公平的自然语言处理(Dagstuhl Seminar 22232)

Dagstuhl reports Pub Date : 2022-01-01 DOI: 10.4230/DagRep.12.6.14

Jesse Dodge, Iryna Gurevych, Roy Schwartz, Emma Strubell, Betty van Aken

{"title":"Efficient and Equitable Natural Language Processing in the Age of Deep Learning (Dagstuhl Seminar 22232)","authors":"Jesse Dodge, Iryna Gurevych, Roy Schwartz, Emma Strubell, Betty van Aken","doi":"10.4230/DagRep.12.6.14","DOIUrl":"https://doi.org/10.4230/DagRep.12.6.14","url":null,"abstract":"This report documents the program and the outcomes of Dagstuhl Seminar 22232 “Efficient and Equitable Natural Language Processing in the Age of Deep Learning”. Since 2012, the field of artificial intelligence (AI) has reported remarkable progress on a broad range of capabilities including object recognition, game playing, speech recognition, and machine translation. Much of this progress has been achieved by increasingly large and computationally intensive deep learning models: training costs for state-of-the-art deep learning models have increased 300,000 times between 2012 and 2018 [1]. Perhaps the epitome of this trend is the subfield of natural language processing (NLP) that over the past three years has experienced even sharper growth in model size and corresponding computational requirements in the word embedding approaches (e.g. ELMo, BERT, openGPT-2, Megatron-LM, T5, and GPT-3, one of the largest models ever trained with 175B dense parameters) that are now the basic building blocks of nearly all NLP models. Recent studies indicate that this trend is both environmentally unfriendly and prohibitively expensive, raising barriers to participation in NLP research [2, 3]. The goal of this seminar was to mitigate these concerns and promote equity of access in NLP.","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"14-27"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70436792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Anticipatory Human-Machine Interaction (Dagstuhl Seminar 22202) 预期人机交互(Dagstuhl Seminar 22202)

Dagstuhl reports Pub Date : 2022-01-01 DOI: 10.4230/DagRep.12.5.131

J. Borst, A. Bulling, Cleotilde González, Nele Russwinkel

引用次数: 0