| Vol-2003 urn:nbn:de:0074-2003-3 Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# NeSy 2017
Neural-Symbolic Learning and Reasoning 2017

### Proceedings of the Twelfth International Workshop on Neural-Symbolic Learning and Reasoning 2017

### London, UK, July 17-18, 2017.

Edited by

### Tarek R. Besold *
Artur d'Avila Garcez *
Isaac Noble **

* City, University of London, UK
** Playground Global, USA

## Table of Contents

### Long Papers

- Towards Grounding Conceptual Spaces in Neural Representations
  Lucas Bechberger, Kai-Uwe Kuehnberger
- Propositional Rule Extraction from Neural Networks under Background Knowledge
  Maryam Labaf, Pascal Hitzler, Anthony B. Evans
- Classical Planning in Deep Latent Space: From Unlabeled Images to PDDL (and back)
  Masataro Asai, Alex Fukunaga
- Explaining Trained Neural Networks with Semantic Web Technologies: First Steps
  Md Kamruzzaman Sarker, Ning Xie, Derek Doran, Michael Raymer, Pascal Hitzler
- Inductive Learning in Shared Neural Multi-Spaces
  Edjard de Souza Mota, Jacob M. Howe, Artur S. d'Avila Garcez

### Short Papers

- A Comparison between Deep Q-Networks and Deep Symbolic Reinforcement Learning
  Aimore R. R. Dutra, Artur S. d'Avila Garcez
- Confidence Values and Compact Rule Extraction From Probabilistic Neural Networks
  Simon Odense, Artur S. d'Avila Garcez
- Learning with Knowledge Graphs
  Volker Tresp, Yunpu Ma, Stephan Baier
- Learning about Actions and Events in Shared NeMuS
  Milena Rodrigues Tenorio, Edjard de Souza Mota, Jacob M. Howe, Artur S. d'Avila Garcez
- Category-based Inductive Learning in Shared NeMuS
  Ana Carolina Melik Schramm, Edjard de Souza Mota, Jacob M. Howe, Artur S. d'Avila Garcez
- Q-SATyrus: Mapping Neuro-symbolic Reasoning into an Adiabatic Quantum Computer
  Priscila M. V. Lima

2017-11-20: submitted by Tarek R. Besold, metadata incl. bibliographic data published under Creative Commons CC0
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