Transparent Neural Networks: Integrating Concept Formation and Reasoning
Paper i proceeding, 2012

We present the transparent neural networks, a graph-based computational model that was designed with the aim of facilitating human understanding. We also give an algorithm for developing such networks automatically by interacting with the environment. This is done by adding and removing structures for spatial and temporal memory. Thus we automatically obtain a monolithic computational model which integrates concept formation with deductive, inductive, and abductive reasoning.

transparent neural networks

inductive reasoning

developmental robotics

deductive reasoning

concept formation


Claes Strannegård

Göteborgs universitet

Chalmers, Tillämpad informationsteknologi, Kognition och kommunikation

Olle Häggström

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematisk statistik

Johan Wessberg

Göteborgs universitet

Christian Balkenius

Lunds universitet

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 7716 302-311



Filosofi, etik och religion

Datavetenskap (datalogi)



Mer information

Senast uppdaterat