Content: Workshop on Hybrid Reasoning and Learning (HRL 2018) @ KR 2018

Workshop on Hybrid Reasoning and Learning (HRL 2018) @ KR 2018


Sponsored by the German Science Foundation (DFG)

Call for Papers:

Submission deadline extended to August 04, 2018!

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

Program and Accepted Papers

Click here for program and accepted papers

Submission Instructions:

Papers must be at most nine (9) pages in length, excluding references, 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 HRL2018 EasyChair submission site.

Important Dates:

  • Paper submission: new: August 04, 2018 (was: July 21, 2018)
  • Paper Notification: new: September 08, 2018 (was: August 25, 2018)
  • Registration deadline: TBA
  • Workshop Date: October 28, 2018

Venue

ASU Memorial Union Building, 301 E Orange St, Tempe, Arizona

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