| Vol-1768 urn:nbn:de:0074-1768-2 Copyright © 2016 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 2016
Neural-Symbolic Learning and Reasoning

### Proceedings of the 11th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy'16)
co-located with the Joint Multi-Conference on Human-Level Artificial Intelligence (HLAI 2016)

### New York City, NY, USA, July 16-17, 2016.

Edited by

### Tarek R. Besold *
Luis Lamb **
Luciano Serafini ***
Whitney Tabor ****

* University of Bremen, Germany
** Universidade Federal do Rio Grande do Sul, Brazil
*** Fondazione Bruno Kessler, Italy
**** University of Connecticut, USA

## Table of Contents

### Long Papers

- Inducing Symbolic Rules from Entity Embeddings using Auto-encoders
  Thomas Ager, Ondrej Kuzelka, Steven Schockaert
- Shared Multi-Space Representation for Neural-Symbolic Reasoning
  Edjard de S. Mota, Yan B. Diniz
- Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge
  Luciano Serafini, Artur d'Avila Garcez
- Learning Sequential Control in a Neural Blackboard Architecture for In Situ Concept Reasoning
  Frank van der Velde
- A Proposal for Common Dataset in Neural-Symbolic Reasoning Studies
  Ozgur Yilmaz, Artur d'Avila Garcez, Daniel Silver

### Short Papers

- High-Power Logical Representation via Rulelog, for Neural-Symbolic
  Benjamin N. Grosof
- Heterotic Continuous Time Real-valued/Boolean-valued Networks
  Daniel R. Patten, Howard A. Blair

2016-12-21: submitted by Tarek R. Besold, metadata incl. bibliographic data published under Creative Commons CC0
2016-12-22: published on CEUR-WS.org |valid HTML5|