Semio
Reports on the 2016 AAAI Fall Symposium Series
Alves-Oliveira, Patrícia (Instituto Universitário de Lisboa) | Freedman, Richard G. (University of Massachusetts Amherst) | Grollman, Dan (Sphero, Inc.) | Herlant, Laura (arnegie Mellon University) | Humphrey, Laura (Air Force Research Laboratory) | Liu, Fei (University of Central Florida) | Mead, Ross (Semio) | Stein, Frank (IBM) | Williams, Tom (Tufts University) | Wilson, Shomir (University of Cincinnati)
Reports on the 2016 AAAI Fall Symposium Series
Reports on the 2016 AAAI Fall Symposium Series
Alves-Oliveira, Patrícia (Instituto Universitário de Lisboa) | Freedman, Richard G. (University of Massachusetts Amherst) | Grollman, Dan (Sphero, Inc.) | Herlant, Laura (arnegie Mellon University) | Humphrey, Laura (Air Force Research Laboratory) | Liu, Fei (University of Central Florida) | Mead, Ross (Semio) | Stein, Frank (IBM) | Williams, Tom (Tufts University) | Wilson, Shomir (University of Cincinnati)
The AAAI 2016 Fall Symposium Series was held Thursday through Saturday, November 17–19, at the Westin Arlington Gateway in Arlington, Virginia adjacent to Washington, DC. The titles of the six symposia were Accelerating Science: A Grand Challenge for AI; Artificial Intelligence for Human-Robot Interaction, Cognitive Assistance in Government and Public Sector Applications, Cross-Disciplinary Challenges for Autonomous Systems, Privacy and Language Technologies, Shared Autonomy in Research and Practice. The highlights of each (except Acceleration Science) symposium are presented in this report.
Reports of the AAAI 2016 Spring Symposium Series
Amato, Christopher (University of New Hampshire) | Amir, Ofra (Harvard University) | Bryson, Joanna (University of Bath) | Grosz, Barbara (Harvard University) | Indurkhya, Bipin (Jagiellonian University) | Kiciman, Emre (Microsoft Research) | Kido, Takashi (Rikengenesis) | Lawless, W. F. (Massachusetts Institute of Technology) | Liu, Miao (University of Southern California) | McDorman, Braden (Semio) | Mead, Ross (University of Amsterdam) | Oliehoek, Frans A. (University of Pennsylvania) | Specian, Andrew (American University in Paris) | Stojanov, Georgi (University of Electro-Communications) | Takadama, Keiki
The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2016 Spring Symposium Series on Monday through Wednesday, March 21-23, 2016 at Stanford University. The titles of the seven symposia were (1) AI and the Mitigation of Human Error: Anomalies, Team Metrics and Thermodynamics; (2) Challenges and Opportunities in Multiagent Learning for the Real World (3) Enabling Computing Research in Socially Intelligent Human-Robot Interaction: A Community-Driven Modular Research Platform; (4) Ethical and Moral Considerations in Non-Human Agents; (5) Intelligent Systems for Supporting Distributed Human Teamwork; (6) Observational Studies through Social Media and Other Human-Generated Content, and (7) Well-Being Computing: AI Meets Health and Happiness Science.
Reports of the AAAI 2016 Spring Symposium Series
Amato, Christopher (University of New Hampshire) | Amir, Ofra (Harvard University) | Bryson, Joanna (University of Bath) | Grosz, Barbara (Harvard University) | Indurkhya, Bipin (Jagiellonian University) | Kiciman, Emre (Microsoft Research) | Kido, Takashi (Rikengenesis) | Lawless, W. F. (Massachusetts Institute of Technology) | Liu, Miao (University of Southern California) | McDorman, Braden (Semio) | Mead, Ross (University of Amsterdam) | Oliehoek, Frans A. (University of Pennsylvania) | Specian, Andrew (American University in Paris) | Stojanov, Georgi (University of Electro-Communications) | Takadama, Keiki
The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2016 Spring Symposium Series on Monday through Wednesday, March 21-23, 2016 at Stanford University. The titles of the seven symposia were (1) AI and the Mitigation of Human Error: Anomalies, Team Metrics and Thermodynamics; (2) Challenges and Opportunities in Multiagent Learning for the Real World (3) Enabling Computing Research in Socially Intelligent Human-Robot Interaction: A Community-Driven Modular Research Platform; (4) Ethical and Moral Considerations in Non-Human Agents; (5) Intelligent Systems for Supporting Distributed Human Teamwork; (6) Observational Studies through Social Media and Other Human-Generated Content, and (7) Well-Being Computing: AI Meets Health and Happiness Science.