[PlanetKR] CFP (deadline updated) - AAAI 2018 Spring Symposium on Integrating Representation, Reasoning, Learning, and Execution for Goal Directed Autonomy

[Shiqi Zhang]

Call for Papers:
AAAI 2018 Spring Symposium on
Integrating Representation, Reasoning, Learning, and Execution for
Goal Directed Autonomy

March 26th - 28th, 2018
Stanford University, Palo Alto, CA, USA
Submission deadline: November 7th, 2017


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.

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:

* hierarchical approaches for goal directed autonomy in physically
manifested intelligent systems (e.g., robotics)

* 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

* tradeoffs between model verisimilitude, scalability, and
executability in sequential decision making

* bridging the gaps between abstract models and reality in sequential
decision making

* online model learning and model improvement during execution

* identifying modeling errors during plan execution

* integrated approaches for learning representations and execution policies

* analysis and use of abstractions in autonomous reasoning and execution

*** Symposium Format ***

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.

*** Paper Submission ***

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.

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.

Papers should be submitted via easychair:
https://easychair.org/conferences/?conf=sirle2018

*** Organizing Committee ***

Siddharth Srivastava, Arizona State University
Shiqi Zhang, Cleveland State University
Nick Hawes, University of Oxford
Erez Karpas, Technion – Israel Institute of Technology
George Konidaris, Brown University
Matteo Leonetti, University of Leeds
Mohan Sridharan, The University of Auckland
Jeremy Wyatt, University of Birmingham


*** Program Committee ***

Christopher Amato, Northeastern University
J. Benton, NASA Ames Research Center / AAMU-RISE
Joydeep Biswas, University of Massachusetts Amherst
Minh Do, NASA Ames Research Center
Esra Erdem, Sabanci University
Georgios Fainekos, Arizona State University
Alberto Finzi, Universita' di Napoli Federico II
Michael Gelfond, Texas Tech University
Marc Hanheide, University of Lincoln
Laura Hiatt, U.S. Naval Research Laboratory
Luca Iocchi, Sapienza University of Rome
Leslie Kaelbling, MIT
Sven Koenig, University of Southern California
Lars Kunze, University of Oxford
Bruno Lacerda, University of Oxford
Gerhard Lakemeyer, RWTH Aachen University
Daniele Magazzeni, King's College London
Lenka Mudrova, University of Birmingham
Tim Niemueller, RWTH Aachen University
Andrea Orlandini, National Research Council of Italy (ISTC-CNR)
Federico Pecora, Orebro University
Subramanian Ramamoorthy, The University of Edinburgh
Mark Roberts, Naval Research Laboratory
Alessandro Saffiotti, Orebro University
Enrico Scala, ANU Research School in Computer Science
Jivko Sinapov, Tufts University
Sylvie Thiebaux, ANU
Yu Zhang, Arizona State University
Shlomo Zilberstein, University of Massachusetts Amherst

Best,
-Shiqi