Reports of the 2018 AAAI Fall Symposium

  • Managing Editor AAAI
  • Aaron Adler BBN Technologies
  • Prithviraj Dasgupta University of Nebraska
  • Nick DePalma Samsung Research of America
  • Mohammed Eslami Netrias, LLC.
  • Richard G. Freedman Smart Information Flow Technologies, LLC
  • John E. Laird University of Michigan
  • Christian Lebiere Carnegie Mellon University
  • Katrin Lohan Heriot-Watt University
  • Ross Mead Semio AI, Inc.
  • Mark Roberts US Naval Research Laboratory
  • Paul S. Rosenbloom University of Southern California
  • Emmanuel Senft Plymouth University
  • Frank Stein IBM
  • Tom Williams Colorado School of Mines
  • Kyle Hollins Wray University of Massachusetts Amherst
  • Fusun Yaman BBN Technologies
  • Shlomo Zilberstein University of Massachusetts Amherst

Abstract

The AAAI 2018 Fall Symposium Series was held Thursday through Saturday, October 18–20, at the Westin Arlington Gateway in Arlington, Virginia, adjacent to Washington, D.C. The titles of the eight symposia were Adversary-Aware Learning Techniques and Trends in Cybersecurity; Artificial Intelligence for Synthetic Biology; Artificial Intelligence in Government and Public Sector; A Common Model of Cognition; Gathering for Artificial Intelligence and Natural System; Integrating Planning, Diagnosis, and Causal Reasoning; Interactive Learning in Artificial Intelligence for HumanRobot Interaction; and Reasoning and Learning in Real-World Systems for Long-Term Autonomy. The highlights of each symposium (except the Gathering for Artificial Intelligence and Natural System symposium, whose organizers failed to submit a summary) are presented in this report.

Published
2019-06-24
Section
Symposium Reports