Journal article
Reports on the 2017 AAAI Spring Symposium Series
The AI magazine, v 38(4), pp 99-106
01 Dec 2017
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 Well-Being 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.
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Details
- Title
- Reports on the 2017 AAAI Spring Symposium Series
- Creators
- Jeannette Bohg - Max Planck Institute for Intelligent SystemsXavier Boix - Massachusetts Institute of TechnologyNancy Chang - GoogleVivian Chu - Georgia Institute of TechnologyElizabeth F. Churchill - GoogleFei Fang - Harvard University ,Jerome Feldman - University of California, BerkeleyAvelino J. Gonzalez - University of Central FloridaTakashi Kido - Preferred NetworksWilliam F. Lawless - Paine CollegeJose L. Montana - University of CantabriaSantiago Ontanon - Drexel UniversityJivko Sinapov - The University of Texas at AustinDon Sofge - Naval Res Lab, Washington, DC 20375 USALuc Steels - Institute of Evolutionary BiologyMolly Wright Steenson - Carnegie Mellon UniversityKeiki Takadama - University of Electro-CommunicationsAmulya Yadav - University of Southern California
- Publication Details
- The AI magazine, v 38(4), pp 99-106
- Publisher
- Amer Assoc Artificial Intell
- Number of pages
- 8
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000419468800015
- Scopus ID
- 2-s2.0-85040811837
- Other Identifier
- 991019168098004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Industry collaboration
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence