In conjunction with AAAI-20 on Feb 7, 2020, @ NYC. Registration Info. At the end of the workshop we expect to come up with new insights and topics to address the challenges of generalization in planning. Plan recognition, activity recognition, and intent recognition all involve making inferences about other actors from observations of their behavior, i.e., their interaction with the environment and with each other. The first achievements in playing these games at super-human level were attained with methods that relied on and exploited domain expertise that was designed manually (e.g. Position papers for the AI Safety Landscape (2-4 pages). A large part of this is due to the realization that MCS may be the one of the biggest missing components in the transition of current day narrow AI systems into truly broader general AI systems. We invite papers that offer modeling and measurement of affect and identify the best affect–related dimensions to study consumer behavior. Attendance is open to all. human-outside-the-loop: the social and organizational impacts of software robots. From the research side, statistical and machine learning methods are well entrenched for language understanding and entity detection. Recordings from the 2020 Virtual Practice Management Workshop. Nowadays, machine learning solutions are widely deployed. This initiative aims at defining a multi-faceted and integrated “view” of the current needs, challenges, and the state of the art and practice of this field. Workshop registration is available for workshop only registrants or for AAAI-20 technical registrants at a discounted rate. The workshop will focus on the application of artificial intelligence to problems in cyber security. The final schedule will be available in November, and exact locations will be determined in January. International Conference on Autonomous Agents and Multi-Agent Systems 2020. The scope of the workshop includes, but is not limited to, the following areas: We also encourage submissions of studies or applications pertinent to finance using other types of unstructured data such as financial transactions, sensors, mobile devices, satellites, social media. The AAAI-20 Workshop on Knowledge Discovery from Unstructured Data in Financial Services We will hold a 1-day workshop where approximately two-thirds of the time will be devoted to presentations of regular workshop submissions and an invited talk. The final schedule will be available in November, and exact locations will be determined in January. KDF is a one-day workshop. Three specific roles are part of this format: session chairs, presenters and paper discussants. Do not mail submissions to AAAI. Analysis of content to measure affect and its experiences is a growing multidisciplinary research area that still has little cross-disciplinary collaboration. AI for IoT is a workshop on IoT with its focus on technologies to enable machine learning algorithms to run on resource constrained, secure, and connected devices. Human-computer interactions will continue to increase. Min-Ling Zhang Southeast University, China, This site is protected by copyright and trademark laws under US and International law. This one-day workshop aims to bring together both academic researchers and industrial practitioners from different backgrounds and perspectives to the above challenges. This was a two-day event. Artificial Intelligence (AI) promises to take RPA to new heights, but so far the AI research efforts related to the different aspects of RPA have been largely isolated. Contributions of research results are sought in the following areas of: Due to the diversity of disciplines engaging in this area, related contributions in other fields, are also welcome. However, the large-scale and high complexity of cloud services brings great challenges to the industry. While research in AI for team sports has grown over the last 20 years, it is as yet unclear how they relate to each other or build upon each other as they tend to either focus on specific types of team sports or specific prediction and optimisation problems that are but one part of the whole field. Ryan Beal (University of Southampton, UK), Sarvapali Ramchurn (University of Southampton, UK), Georgios Chalkiadakis (Technical University of Crete, Greece), Onn Shehory (Bar Ilan University, Israel), Tim Swartz (Simon Fraser University, Canada), Supplemental workshop site: https://www.ai-teamsports.com. It will conclude with a panel discussion. Slides are also permitted in lieu of video, but greater weight will be given to submissions accompanied by videos. The artificial intelligence (AI) and computational linguistics (CL) communities are making strides in identifying and measuring affect from user signals especially in language, while the human-computer interaction (HCI) community independently explores affect through user experience evaluations. Huáscar Espinoza (Commissariat à l´Energie Atomique, France), José Hernández-Orallo (Universitat Politècnica de València, Spain), Cynthia Chen (University of Hong Kong, China), Seán Ó hÉigeartaigh (University of Cambridge, UK), Xiaowei Huang (University of Liverpool, UK), Mauricio Castillo-Effen (Lockheed Martin, USA), Richard Mallah (Future of Life Institute, USA), John McDermid (University of York, UK). We welcome submissions on topics including – but not limited to – the following: We especially invite papers investigating multiple related themes, industry papers, and descriptions of running projects and ongoing work. Despite aforementioned success, developing and applying AI technologies to education is fraught with its unique challenges, including, but not limited to, extreme data sparsity, lack of labeled data, and privacy issues. chess, checkers). This calls for novel methods and new methodologies and tools to address quality and reliability challenges of ML systems. The extraction, representation, and sharing of health data, patient preference elicitation, personalization of “generic” therapy plans, adaptation to care environments and available health expertise, and making medical information accessible to patients are some of the relevant problems in need of AI-based solutions. May 9 – 13, 2020. Accepted papers will be published in the AICS Workshop proceedings on arXiv after the event. Here, the aim is to implement technical systems that smartly adapt their functionality to their users’ individual needs and requirements and are even able to solve problems in close cooperation with human users. This has led to a massive increase of the amount of data that must be analyzed to achieve situational awareness- the scale of which is beyond human capabilities. Consequently, standard notions of software quality and reliability such as deterministic functional correctness, black box testing, code coverage, and traditional software debugging become practically irrelevant for ML systems. Digital transformation is happening in all industries. The thematic sessions will be structured into short pitches and a common panel slot to discuss both individual paper contributions and shared topic issues. Submission site: https://cmt3.research.microsoft.com/CIEMCS2020/Submission/Index. November 15, 2019 (AOE) - Submission Deadline ; December 4, 2019 - Acceptance Notification Knowledge alignment and integration from heterogeneous data; Data acquisition, augmentation, feature engineering, and analysis for investment and risk management, Automatic knowledge extraction from financial fillings and quality verification, AI systems for relationship extraction and risk assessment from legal documents, Event discovery from alternative data and impact on organization equity price, Coordination in robots and software agents, Plan, activity, intent, or behavior recognition, User modeling on the web and in intelligent user interfaces, Plan recognition and user modeling in marketplaces and e-commerce, Machine learning for plan recognition and user modeling, Monitoring agent conversations (overhearing), Observation-based coordination and collaboration (teamwork), Uncertainty reasoning for plan recognition, Commercial applications of user modeling and plan recognition, Reverse engineering and program recognition, Applications of privacy-preserving AI systems, Architectures and privacy-preserving learning protocols, Differential privacy: theory and applications, Distributed privacy-preserving algorithms, Privacy-preserving algorithms for medical applications, Privacy-preserving algorithms for temporal data, Privacy-preserving test cases and benchmarks, Style, voice and personality in spoken dialogue and written text, Novel Methods for NL Generation for dialogs, Early experiences with implemented dialog systems, Mixed-initiative dialogs where a partner is a combination of agent and human, Domain model acquisition, especially from unstructured text, Planning and reasoning in the context of dialog systems, Handling uncertainty of conversation and data, Ethical issues with learning and reasoning in dialog systems, Corpora, Tools and Methodology for Dialogue Systems. Special issues in flagship academic journals are under consideration to host the extended versions of best/selected papers in the workshop. It will continue the tradition of previous AAAI conferences with technical paper presentations, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, all selected according to the highest standards. The AAAI-20 Workshop on Intelligent Process Automation Blue Prism AI Labs is organizing the first international workshop on Intelligent Process Automation in AAAI-20, a major AI conference, together with top AI researchers from UC Berkeley, University of Sydney, and University of Manchester. Knowledge discovery from unstructured data has gained the attention of many practitioners over the past decades. This is especially the case for non- traditional online resources such as social networks, blogs, news feed, twitter posts, and online communities with the sheer size and ever-increasing growth and change rate of their data. ICCV Workshop. Psychological models of affect have been adopted by other disciplines to conceptualize and measure users’ opinions, intentions, and expressions. The word ‘affect’ is used to refer to emotion, sentiment, mood, and attitudes including subjective evaluations, opinions, and speculations. Regular research papers may be no longer than 7 pages, where page 7 must contain only references, and no other text whatsoever. The First International Workshop on Deep Learning on Graphs: Methodologies and Applications (DLGMA’20) February 8, 2020 New York, NY, USA. This enables intelligent decision making and information transfer through devices. However, adoption of such datasets is typically driven by the mere existence and size of a dataset without proper scrutiny of its scope, quality, and limitations. We invite participants to submit papers based on, but not limited to, the following topics: RL in various formalisms: one-shot games, turn-based, and Markov games, partially-observable games, continuous games, cooperative games; deep RL in games; combining search and RL in games; inverse RL in games; foundations, theory, and game-theoretic algorithms for RL; opponent modeling; analyses of learning dynamics in games; evolutionary methods for RL in games; RL in games without the rules; and Monte Carlo tree search, online learning in games. The last decade has seen massive progress in AI research powered by crowdsourced datasets and benchmarks such as Imagenet, Freebase, SQuAD; as well as widespread adoption and increasing use of AI in deployed systems. Papers that introduce new theoretical concepts or methods, help to develop a better understanding of new emerging concepts through extensive experiments, or demonstrate a novel application of these methods to a domain are encouraged. How can we engineer trustable AI software architectures? Topics of interest to this workshop bring together research being conducted in a range of areas, including classical planning, knowledge engineering, partial policies and reinforcement learning, plan verification, and model checking. Our long term goal is to change this by achieving synergy between logical, statistical and neural AI. Submissions should be made via EasyChair and must follow the formatting guidelines for AAAI-20 (use the AAAI Author Kit). February 7th, 2020, New York, NY, USA. Dennis M. Ross (MIT Lincoln Laboratory, MA, USA), Diane P. Staheli (MIT Lincoln Laboratory, MA, USA), David R. Martinez (MIT Lincoln Laboratory, MA, USA), William W. Streilein (MIT Lincoln Laboratory, MA, USA), Arunesh Sinha (Singapore Management University, Singapore), Milind Tambe (Harvard University, MA, USA), Supplemental workshop site: http://aics.site/AICS2020. Together, this has created an environment of increased reliance on AI-based systems for humans to interact with the scale of cyber security problems. Games provide an abstract and formal model of environments in which multiple agents interact: each player has a well-defined goal and rules to describe the effects of interactions among the players. With recent innovative network and chip technology, devices are becoming smarter with increasing compute power, bandwidth, and storage available on the device. Please keep your paper format according to AAAI Formatting Instructions (two-column format).Papers will be peer-reviewed by the Program Committee (2-3 reviewers per paper). Navigate to present edition here. Workshops will be held Friday and Saturday, February 7-8, 2020 at the New York Hilton Midtown in New York, New York, USA. users, scientists, developers, RESOURCE BUILDING: Making existing evaluation methodologies, raw data and outcomes, discoverable, fully documented and available for public scrutiny. The workshop will include original contributions on theory, methods, systems, and applications of data mining, machine learning, databases, network theory, natural language processing, knowledge representation, artificial intelligence, semantic web, and big data analytics in web-based healthcare applications, with a focus on applications in population and personalized health. Workshops will be held Friday and Saturday, February 7-8, 2020 at the New York Hilton Midtown in New York, New York, USA. Short or position papers of up to 4 pages are also welcome. Characteristics of ‘good’ dataset / benchmark? Additional areas can be discussed with similar challenges and solution spaces (e.g. We envision that, with the advance of AI/ML and other related technologies, the cloud industry will achieve significant progress in the following aspects while keeping a sustained and exponential growth: Highly resilient cloud service. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. Proposals of technical talk (up to one-page abstract including short Bio of the main speaker), Position papers for general topics (2-4 pages), and. We invite submissions of relevant work that be of interest to the workshop. We invite high-quality paper submissions on topics including, but not limited to, the following: We are keen to see applications of AI techniques such as: The workshop will be a full-day and will include a mix of invited talk(s) and peer-reviewed papers (talks and poster sessions). 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