Neural Symbolic Activity

Neural symbolic activity.

Symbolic Neural Symbolic Algorithm/ Algorithm Network Neural Network

Neural networks offer an intriguing set of techniques for learning based on the ad-justment of weights of connections between processing units. However, the powerand limitations of connectionist methods for learning, such as the method of backpropagation in parallel distributed processing networks, are not yet entirely clear.We report on a set of experiments that more precisely ...

Neural-symbolic integration

The field of neural-symbolic integration has received much attention recently. While with propositional paradigms, the integration of symbolic knowledge and connectionist systems (also called artificial neural networks) has already resulted in applicable systems, the theoretical foundations for the first-order case are currently being laid and first perspectives for real implementations are eme...

Neural Sub-Symbolic Reasoning

The sub-symbolical representation often corresponds to a pattern that mirrors the way the biological sense organs describe the world. Sparse binary vectors can describe sub-symbolic representation, which can be efficiently stored in associative memories. According to the production system theory, we can define a geometrically based problemsolving model as a production system operating on sub-sy...

Neural-Symbolic Cognitive Agent

The DARPA Mind’s Eye program seeks to develop in machines a capability that currently exists only in animals: visual intelligence. This short paper describes the initial results of a Neural-Symbolic approach for action recognition and description to be demonstrated at the 7 th international workshop on Neural-Symbolic Learning and Reasoning.