Elementary logical reasoning in the SOM output space

Authors:
Jorge Ramón Letosa;Timo Honkela
Affiliations:
Adaptive Informatics Research Centre, Aalto University of Science and Technology, Aalto;Adaptive Informatics Research Centre, Aalto University of Science and Technology, Aalto
Venue:
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Year:
2010

Citing 6
Cited 0

The symbol grounding problem

CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Subsymbolic natural language processing: an integrated model of scripts, lexicon, and memory

Subsymbolic natural language processing: an integrated model of scripts, lexicon, and memory
Conceptual Spaces: The Geometry of Thought

Conceptual Spaces: The Geometry of Thought
Self-Organizing Maps

Self-Organizing Maps
Self-Organizing Maps in Symbol Processing

Hybrid Neural Systems, revised papers from a workshop
SARDSRN: a neural network shift-reduce parser

IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we consider how to represent world knowledge using the self-organizing map (SOM), how to use a simple recurrent network (SRN) to device sentence comprehension, and how to use the SOM output space to represent situations and facilitate grounded logical reasoning.