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
Författare
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 LNAI 302-311Ämneskategorier
Filosofi
Filosofi, etik och religion
Datavetenskap (datalogi)
DOI
10.1007/978-3-642-35506-6_31