<div dir="ltr"><span dir="ltr">Call for Papers: <br>
AAAI 2018 Spring Symposium on Integrating Representation, Reasoning, Learning, and Execution for Goal Directed Autonomy <br>
<br>
March 26th - 28th, 2018 <br>
Stanford University, Palo Alto, CA, USA <br>
Submission deadline: November 7th, 2017 <br>
<br>
<br>
Recent advances in AI and robotics have led to a resurgence of interest
in the objective of producing intelligent agents that help us in our
daily lives. Such agents must be able to rapidly adapt to the changing
goals of their users, and the changing environments
in which they operate. These requirements lead to a balancing act that
most current systems have difficulty contending with: on the one hand,
human interaction and computational scalability favor the use of
abstracted models of problems and environments domains;
on the other hand, generating goal directed behavior in the real world
typically requires accurate models that are difficult to obtain and
computationally hard to reason with. <br>
<br>
This symposium addresses the core research gaps that arise in designing
autonomous systems that execute their actions in complex environments
using imprecise models. The sources of imprecision may range from
computational pragmatism to imperfect knowledge of
the actual problem domain. Some of the research directions that this
symposium aims to highlight are: <br>
<br>
* hierarchical approaches for goal directed autonomy in physically manifested intelligent systems (e.g., robotics) <br>
<br>
* formalizations for knowledge representation and reasoning under
uncertainty for real-world systems and their simulations, including
those based on logic as well as on probability theory <br>
<br>
* tradeoffs between model verisimilitude, scalability, and executability in sequential decision making <br>
<br>
* bridging the gaps between abstract models and reality in sequential decision making <br>
<br>
* online model learning and model improvement during execution <br>
<br>
* identifying modeling errors during plan execution <br>
<br>
* integrated approaches for learning representations and execution policies <br>
<br>
* analysis and use of abstractions in autonomous reasoning and execution <br>
<br>
<br>*** Symposium Format *** <br>
<br>
The symposium will be structured around keynote talks by senior
researchers, representing different approaches to the topics of the
symposium. Additionally, we will solicit contributed papers, which will
be presented at the symposium orally and as posters.
Plenty of time will be left for discussion, some of which will be
organized in panels around specific issues, while some time will be left
for open discussion. <br>
<br><br>
*** Paper Submission *** <br>
<br>
We invite full papers (6-8 pages) and short/position papers (2-4 pages).
We also solicit system demonstrations which highlight how some of the
challenges in the research directions listed above were handled. <br>
<br>
Technically, symposium papers are not considered archival, and a
transfer of copyright to AAAI is not required. Symposium authors are
free to submit their work to other venues, but they should always check
with that venue to be sure they have no problem with
it. <br>
<br>
Papers should be submitted via easychair: <a href="https://easychair.org/conferences/?conf=sirle2018" target="_blank">https://easychair.org/conferences/?conf=sirle2018</a><br>
<br>
<br><br>*** Organizing Committee *** <br>
<br>
Siddharth Srivastava, Arizona State University <br>
Shiqi Zhang, Cleveland State University <br>
Nick Hawes, University of Oxford <br>
Erez Karpas, Technion – Israel Institute of Technology <br>
George Konidaris, Brown University <br>
Matteo Leonetti, University of Leeds <br>
Mohan Sridharan, The University of Auckland <br>
Jeremy Wyatt, University of Birmingham <br>
<br>
<br>
*** Program Committee *** <br>
<br>
Christopher Amato, Northeastern University <br>
J. Benton, NASA Ames Research Center / AAMU-RISE <br>
Joydeep Biswas, University of Massachusetts Amherst <br>
Minh Do, NASA Ames Research Center <br>
Esra Erdem, Sabanci University <br>
Georgios Fainekos, Arizona State University <br>
Alberto Finzi, Universita' di Napoli Federico II <br>
Michael Gelfond, Texas Tech University <br>
Marc Hanheide, University of Lincoln <br>
Laura Hiatt, U.S. Naval Research Laboratory <br>
Luca Iocchi, Sapienza University of Rome <br>
Leslie Kaelbling, MIT <br>
Sven Koenig, University of Southern California <br>
Lars Kunze, University of Oxford <br>
Bruno Lacerda, University of Oxford <br>
Gerhard Lakemeyer, RWTH Aachen University <br>
Daniele Magazzeni, King's College London <br>
Lenka Mudrova, University of Birmingham <br>
Tim Niemueller, RWTH Aachen University <br>
Andrea Orlandini, National Research Council of Italy (ISTC-CNR) <br>
Federico Pecora, Orebro University <br>
Subramanian Ramamoorthy, The University of Edinburgh <br>
Mark Roberts, Naval Research Laboratory <br>
Alessandro Saffiotti, Orebro University <br>
Enrico Scala, ANU Research School in Computer Science <br>
Jivko Sinapov, Tufts University <br>
Sylvie Thiebaux, ANU <br>
Yu Zhang, Arizona State University <br>
Shlomo Zilberstein, University of Massachusetts Amherst<br><br></span><div><div class="gmail_signature"><div dir="ltr"><br></div><div dir="ltr"><br>--Mohan<br><a href="http://homepages.engineering.auckland.ac.nz/~smohan/" target="_blank">http://homepages.engineering.auckland.ac.nz/~smohan/</a><br><br></div></div></div>
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