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Transparent Neural Networks: Integrating Concept Formation and Reasoning

Conference paper
Authors Claes Strannegård
Olle Häggström
Johan Wessberg
Christian Balkenius
Published in Lecture notes in computer sciences: 5th International Conference on Artificial General Intelligence, AGI 2012; Oxford; United Kingdom; 8 December 2012 through 11 December 2012
ISBN 978-364235505-9
ISSN 1611-3349
Publication year 2012
Published at Institute of Neuroscience and Physiology, Department of Physiology
Department of Mathematical Sciences, Mathematical Statistics
Department of Philosophy, Linguistics and Theory of Science
Language en
Keywords concept formation; deductive reasoning; developmental robotics; inductive reasoning; transparent neural networks
Subject categories Logic, Philosophy, Ethics and Religion, Theoretical computer science


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.

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