Reports on the 2017 AAAI Spring Symposium Series
AbstractThe Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2017 Spring Symposium Series, held Monday through Wednesday, March 27–29, 2017 on the campus of Stanford University. The eight symposia held were Artificial Intelligence for the Social Good (SS-17-01); Computational Construction Grammar and Natural Language Understanding (SS-17-02); Computational Context: Why It's Important, What It Means, and Can It Be Computed? (SS-17-03); Designing the User Experience of Machine Learning Systems (SS-17-04); Interactive Multisensory Object Perception for Embodied Agents (SS-17-05); Learning from Observation of Humans (SS-17-06); Science of Intelligence: Computational Principles of Natural and Artificial Intelligence (SS-17-07); and Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing (SS-17-08). This report, compiled from organizers of the symposia, summarizes the research that took place.
How to Cite
Bohg, J., Boix, X., Chang, N., Churchill, E. F., Chu, V., Fang, F., Feldman, J., González, A. J., Kido, T., Lawless, W. F., Montaña, J. L., Ontañón, S., Sinapov, J., Sofge, D., Steels, L., Steenson, M. W., Takadama, K., & Yadav, A. (2017). Reports on the 2017 AAAI Spring Symposium Series. AI Magazine, 38(4), 99-106. https://doi.org/10.1609/aimag.v38i3.2754
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