[AI Seminar] AI Seminar sponsored by Apple -- Sarah Keren -- Oct. 16th

[Han Zhao]

Dear faculty and students:

We look forward to seeing you next Tuesday, Oct. 16th, at noon in NSH 3305
for AI Seminar sponsored by Apple. To learn more about the seminar series,
please visit the website.
On Tuesday, Sarah Keren will give the following talk:

Title: Goal Recognition Design

Abstract: Goal recognition design (GRD) is the task of redesigning
environments in order to facilitate online goal recognition. As such, while
goal recognition tools are typically aimed at efficiently analyzing online
observations of agents (human or automated) in order to infer their
objective, GRD focuses on manipulating the environment in which agents act
to guarantee early recognition.

In a nutshell, given a model of a domain and a set of possible goals, a
solution to a GRD problem determines: (1) to what extent do actions,
performed by an agent within the model, reveal the agent’s objective? and
(2) what is the best way to modify the model so that the objective of an
agent is revealed as early as possible? GRD answers these questions by
offering a solution for assessing and minimizing the maximal progress of an
agent in the model before its goal is revealed. This approach is relevant
to any domain for which quickly performing goal recognition is essential
and in which the model design can be controlled. Applications include
intrusion detection, assisted cognition, computer games, and human-robot
collaboration.

Using several motivating examples, my talk will cover the models and
methods created to asses and optimize various GRD settings. In addition, I
will present recent work which extends the redesign approach to settings
with arbitrary utility measures. The utility maximizing design (UMD)
framework brings new exciting directions to explore, such as formulating
the design process as a heuristic search and finding informative heuristics
to guide the search for optimal design strategies.

Bio: Sarah Keren is a postdoctoral fellow at Harvard University, where she
is affiliated with the Center for Research on Computation and Society
(CRCS). Her mentors are Prof. Barbara Grosz and Prof. David Parkes. Before
coming to Harvard, Sarah completed her Ph.D. at the Faculty of Industrial
Engineering and Management of the Technion - Israel Institute of
Technology, where she was advised by Prof. Avigdor Gal and Dr. Erez Karpas.
Sarah's research focuses on manipulating and redesigning environments for
optimizing their utility. Her work has appeared in three leading artificial
intelligence conferences (AAAI, ICAPS and IJCAI). She has received
different excellence awards including an honorable mention for best paper
in ICAPS 2014, as well as the Eric and Wendy Schmidt Postdoctoral Award for
Women in Mathematical and Computing Sciences.
--
Han Zhao
Machine Learning Department
School of Computer Science
Carnegie Mellon University
Mobile: +1-412-652-4404
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/ai-seminar-announce/attachments/20181014/9acce3d6/attachment.html>