TY - JOUR
T1 - Reports on the 2017 AAAI spring symposium series
AU - Bohg, Jeannette
AU - Boix, Xavier
AU - Chang, Nancy
AU - Chu, Vivian
AU - Churchill, Elizabeth F.
AU - Fang, Fei
AU - Feldman, Jerome
AU - González, Avelino J.
AU - Kido, Takashi
AU - Lawless, William F.
AU - Montaña, José L.
AU - Ontañón, Santiago
AU - Sinapov, Jivko
AU - Sofge, Don
AU - Steels, Luc
AU - Steenson, Molly Wright
AU - Takadama, Keiki
AU - Yadav, Amulya
N1 - Publisher Copyright:
© Copyright 2017, Association for the Advancement of Artificial Intelligence. All rights reserved.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - 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 Ma chine-Learning Systems (SS-17-04); Interactive Multisensory Object Perception for Embodied Agents (SS-17-05); Learning from Ob servation of Humans (SS-17-06); Science of Intelligence: Com putational 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.
AB - 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 Ma chine-Learning Systems (SS-17-04); Interactive Multisensory Object Perception for Embodied Agents (SS-17-05); Learning from Ob servation of Humans (SS-17-06); Science of Intelligence: Com putational 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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U2 - 10.1609/aimag.v38i3.2754
DO - 10.1609/aimag.v38i3.2754
M3 - Article
AN - SCOPUS:85040811837
SN - 0738-4602
VL - 38
SP - 99
EP - 106
JO - AI Magazine
JF - AI Magazine
IS - 4
ER -