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. © 2012 Springer-Verlag.
CITATION STYLE
Strannegård, C., Häggström, O., Wessberg, J., & Balkenius, C. (2012). Transparent neural networks: Integrating concept formation and reasoning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7716 LNAI, pp. 302–311). https://doi.org/10.1007/978-3-642-35506-6_31
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