Dear Colleagues, Apologies for cross-posting.
We are pleased to invite you to submit your contributions to a special issue on "Advances in Goal, Plan and Activity Recognition" in the journal "Frontiers in Artificial Intelligence". Link: https://www.frontiersin.org/research-topics/16540/advances-in-goal-plan-and-activity-recognition -------------------------- Important Dates -------------------------- Abstract Submission: 20 December 2020 Manuscript Submission: 30 April 2021 -------------------------- Details -------------------------- Goal and Plan recognition are two interdisciplinary problems that can be addressed using techniques from automated planning, natural language understanding, psychology, human-computer interfaces, machine learning, and more. However, many of these techniques cannot be trivially applied for goal and plan recognition. For example, when leveraging automated planning for goal recognition, additional information may be required for the recognition task, with respect to what is needed for compared to the planning task. This can include various limitations on the observations such as partialness and noise, correctness, partial domain model, and missing knowledge of an agent's preferences. As AI systems become more prevalent, new challenges arise to create accurate, explainable, and robust methods for goal and plan recognition algorithms in the real world. We are interested in original research and survey articles on the following, non-exhaustive list of topics: * Goal/Plan recognition approaches using any type of domain model * Domain theory formalisms for goal and plan recognition * Inverse Reinforcement Learning * Learning domain models for goal and plan recognition * Recognition techniques to cope with domain imperfections (incomplete or faulty domain models, approximate domain models, and etc.) * Integration of classical planning and learning for goal and plan recognition * Explainable goal and plan recognition * Applications of goal and plan recognition (services for helping the elderly people, identifying significant activities and places from GPS traces, parsing algorithms, Bayesian networks inference procedures and goal recognition for dialogue systems among others) * Multiagent goal and plan recognition * Domain design for goal and plan recognition * Recognition of goals and plans of humans vs. virtual agents. * Goal acquisition/elicitation for goal/plan recognition * Activity recognition in isolation or integrated with Goal and Plan Recognition Guest Co-Editors: Felipe Meneguzzi, Pontifical Catholic University of Rio Grande do Sul, Brazil Reuth Mirsky, University of Texas at Austin, United States Ramon Fraga Pereira, Sapienza University of Rome, Italy Mor Vered, Monash University, Australia -- Reuth Mirsky, Ph.D. Department of Computer Science The University of Texas at Austin 2317 Speedway, Austin, Texas 78712-1757 USA https://sites.google.com/site/dekelreuth/
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