Transparent neural networks: integrating concept formation and reasoning

  • Authors:
  • Claes Strannegård;Olle Häggström;Johan Wessberg;Christian Balkenius

  • Affiliations:
  • Department of Philosophy, Linguistics and Theory of Science, University of Gothenburg, Sweden, Department of Applied Information Technology, Chalmers University of Technology, Sweden;Department of Mathematical Sciences, Chalmers University of Technology, Sweden;Institute of Neuroscience and Physiology, University of Gothenburg, Sweden;Department of Philosophy, Lund University, Sweden

  • Venue:
  • AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence
  • Year:
  • 2012

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Abstract

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.