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|