JOURNAL ARTICLE

Neural-Symbolic Learning and Reasoning (Dagstuhl Seminar 14381)

Artur d’Avila GarcezMarco GoriPascal HitzlerLuís C. Lamb

Year: 2015 Journal:   Leibniz-Zentrum für Informatik (Schloss Dagstuhl)   Publisher: Schloss Dagstuhl – Leibniz Center for Informatics

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 14381 "Neural-Symbolic Learning and Reasoning", which was held from September 14th to 19th, 2014. This seminar brought together specialist in machine learning, knowledge representation and reasoning, computer vision and image understanding, natural language processing, and cognitive science. The aim of the seminar was to explore the interface among several fields that contribute to the effective integration of cognitive abilities such as learning, reasoning, vision and language understanding in intelligent and cognitive computational systems. The seminar consisted of contributed and invited talks, breakout and joint group discussion sessions.

Keywords:
Computer science Semantic Web Artificial intelligence Knowledge representation and reasoning Defeasible reasoning Formalism (music) Theoretical computer science Machine learning

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Citation History

Topics

Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Evolutionary Algorithms and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
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