Dimensions of Neural-symbolic Integration - A Structured Survey

11/10/2005
by   Sebastian Bader, et al.
0

Research on integrated neural-symbolic systems has made significant progress in the recent past. In particular the understanding of ways to deal with symbolic knowledge within connectionist systems (also called artificial neural networks) has reached a critical mass which enables the community to strive for applicable implementations and use cases. Recent work has covered a great variety of logics used in artificial intelligence and provides a multitude of techniques for dealing with them within the context of artificial neural networks. We present a comprehensive survey of the field of neural-symbolic integration, including a new classification of system according to their architectures and abilities.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/25/2021

From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey

Neural-symbolic and statistical relational artificial intelligence both ...
research
05/11/2021

Neuro-Symbolic Artificial Intelligence: Current Trends

Neuro-Symbolic Artificial Intelligence – the combination of symbolic met...
research
08/31/2004

The Integration of Connectionism and First-Order Knowledge Representation and Reasoning as a Challenge for Artificial Intelligence

Intelligent systems based on first-order logic on the one hand, and on a...
research
04/07/2020

Neural Analogical Matching

Analogy is core to human cognition. It allows us to solve problems based...
research
05/05/2020

The computerization of archaeology: survey on AI techniques

This paper analyses the application of artificial intelligence technique...
research
06/09/2023

SNeL: A Structured Neuro-Symbolic Language for Entity-Based Multimodal Scene Understanding

In the evolving landscape of artificial intelligence, multimodal and Neu...
research
10/21/2020

Artificial Intelligence in Weed Recognition Tasks

Over the past decade, unprecedented progress in the development of neura...

Please sign up or login with your details

Forgot password? Click here to reset