Transparent Neural Networks: Integrating Concept Formation and Reasoning
Paper in 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
Author
Claes Strannegård
University of Gothenburg
Chalmers, Applied Information Technology (Chalmers), Cognition and Communication
Olle Häggström
University of Gothenburg
Chalmers, Mathematical Sciences, Mathematical Statistics
Johan Wessberg
University of Gothenburg
Christian Balkenius
Lund University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
03029743 (ISSN) 16113349 (eISSN)
Vol. 7716 LNAI 302-311Subject Categories
Philosophy
Philosophy, Ethics and Religion
Computer Science
DOI
10.1007/978-3-642-35506-6_31