[agents] AAAI 2018 Spring Symposium on Integrating Representation, Reasoning, Learning, and Execution for Goal Directed Autonomy

[Mohan Sridharan]

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



--Mohan
http://homepages.engineering.auckland.ac.nz/~smohan/
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