TY - JOUR
T1 - Reports on the 2018 AAAI spring symposium series
AU - Amato, Christopher
AU - Ammar, Haitham Bou
AU - Churchill, Elizabeth
AU - Karpas, Erez
AU - Kido, Takashi
AU - Kuniavsky, Mike
AU - Lawless, W. F.
AU - Oliehoek, Frans A.
AU - Rossi, Francesca
AU - Russell, Stephen
AU - Srivastava, Siddharth
AU - Takadama, Keiki
AU - Van Allen, Philip
AU - Brent Venable, K.
AU - Tuyls, Karl
AU - Vrancx, Peter
AU - Zhang, Shiqi
N1 - Publisher Copyright:
© 2018, Association for the Advancement of Artifcial Intelligence. All rights reserved.
PY - 2018
Y1 - 2018
N2 - The Association for the Advancement of Artifcial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2018 Spring Symposium Series, held March 26-28, 2018, on the campus of Stanford University. The seven symposia held were AI and Society: Ethics, Safety, and Trustworthiness in Intelligent Agents; Artifcial Intelligence for the Internet of Everything; Beyond Machine Intelligence: Understanding Cognitive Bias and Humanity for WellBeing AI; Data-Effcient Reinforcement Learning; The Design of the User Experience for Artifcial Intelligence (the UX of AI); Integrated Representation, Reasoning, Learning, and Execution for Goal-Directed Autonomy; Learning, Inference, and Control of Multiagent Systems. This report, compiled from organizers of the symposia, summarizes the research of the symposia that took place.
AB - The Association for the Advancement of Artifcial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2018 Spring Symposium Series, held March 26-28, 2018, on the campus of Stanford University. The seven symposia held were AI and Society: Ethics, Safety, and Trustworthiness in Intelligent Agents; Artifcial Intelligence for the Internet of Everything; Beyond Machine Intelligence: Understanding Cognitive Bias and Humanity for WellBeing AI; Data-Effcient Reinforcement Learning; The Design of the User Experience for Artifcial Intelligence (the UX of AI); Integrated Representation, Reasoning, Learning, and Execution for Goal-Directed Autonomy; Learning, Inference, and Control of Multiagent Systems. This report, compiled from organizers of the symposia, summarizes the research of the symposia that took place.
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U2 - 10.1609/aimag.v39i4.2824
DO - 10.1609/aimag.v39i4.2824
M3 - Article
AN - SCOPUS:85059785329
SN - 0738-4602
VL - 39
SP - 29
EP - 35
JO - AI Magazine
JF - AI Magazine
IS - 4
ER -