Reports on the 2017 AAAI Spring Symposium Series

  • Jeannette Bohg Max Planck Institute for Intelligent Systems
  • Xavier Boix Massachusetts Institute of Technology
  • Nancy Chang Google
  • Elizabeth F. Churchill Google
  • Vivian Chu Georgia Institute of Technology
  • Fei Fang Harvard University
  • Jerome Feldman University of California at Berkeley
  • Avelino J. González University of Central Florida
  • Takashi Kido Preferred Networks in Japan
  • William F. Lawless Paine College
  • José L. Montaña University of Cantabria
  • Santiago Ontañón Drexel University
  • Jivko Sinapov University of Texas at Austin
  • Don Sofge Naval Research Laboratory
  • Luc Steels Institut de Biologia Evolutiva
  • Molly Wright Steenson Carnegie Mellon University
  • Keiki Takadama University of Electro-Communications
  • Amulya Yadav University of Southern California

Abstract

The 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.
Published
2017-12-28
Section
Workshop Reports