[PlanetKR] CfP Hybrid Reasoning and Learning - new deadline: Aug 4

[Gabriele Kern-Isberner]

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                            CALL FOR CONTRIBUTIONS

                         Hybrid Reasoning and Learning

                                   HRL 2018

            A Worskhop held on October 28 at KR 2018, Tempe, Arizona, USA

https://www.hybrid-reasoning.org/kr2018_ws/

           **** Paper submission deadline extended to 04 August 2018 ****


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For many years, research in the area of knowledge representation and 
reasoning
(KR&R) was mainly concerned with logic-based, qualitative forms of 
reasoning.
However, successfully applying KR&R techniques to areas such as robotics,
bioinformatics or logistics usually requires taking into account 
quantitative
aspects of reasoning as well.  An example is a symbolic planner on a mobile
robot, which is integrated with geometric planning in continuous state 
space in
order to check whether a grasping action is feasible or not. Similarly, in
bioinformatics quantitative information is often needed for discriminating
solutions obtained from qualitative constraints.  Examples include natural
aspects like mass preservation or flux balances but also human-oriented 
ones due
to different degrees of confidence in data or models.  Other forms of
quantitative aspects of reasoning are uncertainty, time, resources, 
numerical
rankings, and data such as text or 3D point clouds.

Furthermore, in domains such as robotics and bioinformatics it is often 
hard to
construct the full hybrid models by hand. Especially for the quantitative
component the question is: where should the numbers come from? On the other
hand, there is often data available, which calls for the use of machine 
learning
techniques that can support learning such hybrid representations, either by
estimating the needed quantitative information or by learning also the 
structure
of the respective components of hybrid models. This way, even different 
learning
methods can contribute to successfully implementing hybrid models.

This workshop intends to bring together researchers interested in 
combining both
qualitative and quantitative forms of reasoning and learning, which we 
refer to
as hybrid reasoning and learning.  We are interested in recent work which
advances the theory of hybrid reasoning, the learning of hybrid 
representations
as well as their applications. Besides original work we also welcome 
relevant
published material.

INVITED SPEAKERS

Scott Sanner, University of Toronto
Guy Van den Broeck, UCLA

ORGANIZING COMMITTEE

Luc De Raedt, KU Leuven, Belgium
Gabriele Kern-Isberner, Technical University of Dortmund, Germany
Gerhard Lakemeyer, RWTH Aachen University, Germany

PROGRAM COMMITTEE

Franz Baader, TU Dresden, Germany
Vaishak Belle, University of Edinburgh, UK
Gerhard Brewka, University of Leipzig, Germany
Guy Van den Broek, UCLA, USA
Wolfram Burgard, University of Freiburg, Germany
Esra Erdem, Sabanci University, Turkey
Benjamin Kuipers, University of Michigan, USA
Gabriele Kern-Isberner, Technical University of Dortmund, Germany
Gerhard Lakemeyer, RWTH Aachen University, Germany
Thomas Lukasiewicz, University of Oxford, UK
Thomas Meyer, University of Cape Town, South Africa
Bernhard Nebel, University of Freiburg, Germany
Ron Petrick, Edinburgh, UK
Luc De Raedt, KU Leuven, Belgium
Gavin Rens, University of Cape Town, South Africa
Torsten Schaub, University of Potsdam, Germany
Siddharth Srivastava, Arizona State University, USA
Prasad Tadepalli, Oregon State University, USA

SUBMISSION INSTRUCTIONS

Papers must be at most seven (7) pages in length and formatted according 
to the
AAAI formatting instructions.  Reviewing will be single-blind, that is, 
author
names should be included in the submissions.  Papers must be submitted 
in PDF
format only by the due date at the EasyChair submission site
https://easychair.org/conferences/?conf=hrl2018


IMPORTANT DATES

Submission deadline: 04 August 2018 *** new ***
Paper notification: 08 September 2018  *** new ***
Registration deadline: TBD.
Workshop date: 28 October 2018.

-- 
  
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* Prof. Dr. Gabriele Kern-Isberner
* Technische Universitaet Dortmund
* Dept. of Computer Science
* Chair I - Information Engineering
* 44221 Dortmund, Germany
* Phone: +49-231-755-2045
* Fax: +49-231-755 6555
* email: gabriele.kern-isberner at cs.uni-dortmund.de
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