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The AAAI-13 Conference Workshops

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The AAAI-13 Conference Workshops Reports The AAAI-13 Conference Workshops Vikas Agrawal, Christopher Archibald, Mehul Bhatt, Hung Bui, Diane J. Cook, Juan Cortés, Christopher Geib, Vibhav Gogate, Hans W. Guesgen, Dietmar Jannach, Michael Johanson, Kristian Kersting, George Konidaris, Lars Kotthoff, Martin Michalowski, Sriraam Natarajan, Barry O’Sullivan, Marc Pickett, Vedran Podobnik, David Poole, Lokendra Shastri, Amarda Shehu, Gita Sukthankar n The AAAI-13 Workshop Program, a Activity Context-Aware part of the 27th AAAI Conference on Artificial Intelligence, was held Sunday System Architectures and Monday, July 14–15, 2013, at the The third workshop on activity context-aware system archi - Hyatt Regency Bellevue Hotel in Belle - vue, Washington, USA. The program in - tectures sought to explore architectures for intelligent con - cluded 12 workshops covering a wide text-aware systems delivering complex functionality, with di - range of topics in artificial intelligence, rect access to information, simplifying business processes and including Activity Context-Aware Sys - activities while providing domain-specific and task-specific tem Architectures (WS-13-05); Artifi - depth in interactive banking, insurance, wealth management, cial Intelligence and Robotics Methods finance, clinical, legal, telecom customer service, operations, in Computational Biology (WS-13-06); supply chain, connected living room, and personal assistants. Combining Constraint Solving with Such systems understand not just words, but intentions and Mining and Learning (WS-13-07); Computer Poker and Imperfect Infor - the context of the interaction. Such architectures are expect - mation (WS-13-08); Expanding the ed to dramatically improve the quality of proactive decision Boundaries of Health Informatics Using support provided by virtual agents by enabling them to seek Artificial Intelligence (WS-13-09); In - explanations, make predictions, generate and test hypothe - telligent Robotic Systems (WS-13-10); ses, and perform what-if analyses. The systems can provide Intelligent Techniques for Web Person - extreme personalization ( N = 1) by inferring user intent, mak - alization and Recommendation (WS- ing relevant suggestions, maintaining context, carrying out 13-11); Learning Rich Representations from Low-Level Sensors (WS-13-12); cost-benefit analysis from multiple perspectives, finding sim - Plan, Activity, and Intent Recognition ilar cases from organizational and personal episodic memory (WS-13-13); Space, Time, and Ambient before such cases are searched for, finding relevant documents Intelligence (WS-13-14); Trading Agent and answers, and finding issues resolved by experts in similar Design and Analysis (WS-13-15); and situations. The architectures are expected to enable meaning - Statistical Relational Artificial Intelli - fully relating, finding, and connecting people and informa - gence (WS-13-16). tion sources through discovery of causal, temporal, and spa - tial relations. This workshop sought to bring together researchers from the AI and human-computer interaction (HCI) communities to address key research challenges need - ed to create activity context-aware digital workspaces in the near future. Key highlights of the workshops included an introduction and review by Pankaj Mehra (Fusion-io) and strong motiva - tion for context-aware systems, followed by a keynote talk by 108 AI MAGAZINE Copyright © 2013, Association for the Advancement of Artificial Intelligence. All rights reserved. ISSN 0738-4602 Reports Benjamin Grosof (Coherent Knowl - alizations from episodic memory to great progress is being made on meth - edge Systems) on representing activity create semantic memory, using a com - ods to solve problems related to struc - context through semantic rule meth - bination of semantic memory and ture prediction, motion simulation, ods, deriving from experience in the episodic memory to guide users? What and design of biological macromole - Halo and Digital Aristotle work. The af - is the role of activity context working cules (proteins and nucleic acids). ternoon session saw a keynote talk by memory and its relationship to persist - The workshop brought together a di - Paul Lukowicz (DFKI) on architectures ent episodic and semantic memories? verse group of researchers from a vari - needed for large-scale collaborative so - Fast Scalable Hybrid Any-Time Reason - ety of subfields within AI and robotics, cial sensing. A special mention must be ing Systems for Context-Aware Assistance such as robot motion planning, evolu - made of Alex Memory’s (Science Appli - that combine numerical (and subsym - tionary computation, machine learn - cations International Corporation) ar - bolic) and knowledge-driven (symbol - ing, computational geometry, and chitecture for context-aware insider ic) approaches for reasoning, together kinematics. Three keynote speakers threat detection in security applica - with abductive reasoning, to create summarized seminal progress in bio - tions. Genoveva G. Heredero (Infosys) meaningful real-time guidance en - molecular modeling. A talk given by demonstrated multiple applications of gines. Mona Singh (Princeton University, De - a detailed architecture for intelligent Context Information Exchange and In - partment of Computer Science) high - speech-enabled context-aware systems. tegration: How can we integrate and ex - lighted research on understanding and The discussions in this workshop have ploit the growing amount of informa - modeling molecular interactions with a helped us to work with fellow re - tion available from devices, services, variety of techniques from machine searchers to define activity context- the environment, and the various learning and computational geometry. aware system architectures along the sources of general background knowl - A talk by Pierre Baldi (University of Cal - following themes, which will continue edge, in order to support activity con - ifornia Irvine, School of Information to be further explored in future work - text-recognition tasks? What common and Computer Sciences) outlined the shops at AAAI: ontologies or data vocabularies will be historical developments and the gener - Activity Modeling, Representation, useful? What communication tech - al principles behind deep architectures Recognition, Detection, Acquisition, Simu - niques and formalisms will be most ef - for learning, and showcased powerful lation and Prediction: Which (low-level) fective in specific domains? How can applications for prediction of biomole - the externalized cognitive state trans - human activities can be reliably cular structure. A talk by Yang Zhang fer be properly affected? What are the learned and detected? How indicative (University of Michigan, Department relevant use-case scenarios and collab - are those for human tasks and intent? of Computational Medicine and Bioin - oration environments? What are suit - Which granularities of activities could formatics) focused on prediction of ter - able software architectures, user inter - be chosen for creating an extensible hi - tiary structure in proteins, highlighting faces, developer tools, and bench- erarchy of human activity? What rep - state of the art research on threading- marking tools for activity-based com - resentation frameworks are most suit - based, template-free, and hybrid ap - puting? What kind of text, context, able for modeling activities and proaches and important lessons and and behavioral analytics are needed? context switching and for enabling open questions from successes and fail - Pankaj Mehra, Lokendra Shastri, and uniform context recall universally ures in CASP. Vikas Agrawal organized this work - (across devices, platforms, and tech - Workshop presentations addressed shop. This summary was written by nologies)? Do we need sublanguages Vikas Agrawal and Lokendra Shastri. five major themes. Papers on the com - for user-device-specific activity and The papers of the workshop were pub - putation of molecular motions high - context dialogue? What types of, and lished as AAAI Press Technical Report lighted robotics-inspired algorithms for how much, context information can be WS-13-05. modeling folding paths in proteins and captured and incorporated into activity detailed mapping of structural transi - models? How can we do so effectively tions in peptides (by Juan Cortés, Lydia and efficiently? Artificial Intelligence and Tapia, and Nancy Amato). A second Semantic Activity Reasoning: How to Robotics Methods in group of papers highlighted recent de - model and represent activities, objects, velopments on evolutionary search al - resources, actions, and their semantics Computational Biology gorithms and the particular promise of in their context during task perform - In the last two decades, many comput - multiobjective optimization for model - ance? How do we design activity/con - er scientists in artificial intelligence ing equilibrium structures of loops and text models to enable the searching of and robotics have made significant polypeptide chains in proteins (by repositories of previous activities that contributions to modeling biological Amarda Shehu and Yaohang Li). An - have behaviorally and semantically systems. Indeed, the fields of computa - other theme was assisted protein struc - similar components to current activity tional structural biology are now high - ture prediction with prior information requirements? What is the role of se - ly populated by researchers with di - on contacts (by Jianlin Cheng). Ad - mantic memory and episodic memory? verse backgrounds
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