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Transparent Neural Networks

Integrating Concept Formation and Reasoning
  • Claes Strannegård
  • Olle Häggström
  • Johan Wessberg
  • Christian Balkenius
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7716)

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.

Keywords

transparent neural networks developmental robotics concept formation deductive reasoning inductive reasoning 

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References

  1. 1.
    Schmidhuber, J., Thórisson, K.R., Looks, M. (eds.): AGI 2011. LNCS (LNAI), vol. 6830. Springer, Heidelberg (2011)MATHGoogle Scholar
  2. 2.
    Weng, J., McClelland, J., Pentland, A., Sporns, O., Stockman, I., Sur, M., Thelen, E.: Artificial intelligence. Autonomous mental development by robots and animals. Science (291), 599–600 (2001)Google Scholar
  3. 3.
    Zlatev, J., Balkenius, C.: Introduction: Why epigenetic robotics? In: Balkenius, C., Zlatev, J., Kozima, H., Dautenhahn, K., Breazeal, C. (eds.) Proceedings of the First International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems. Lund University Cognitive Studies, vol. 85, pp. 1–4 (2001)Google Scholar
  4. 4.
    d’Avila Garcez, A.S., Lamb, L.C.: Cognitive algorithms and systems: Reasoning and knowledge representation. In: Cutsuridis, V., Hussain, A., Taylor, J.G. (eds.) Perception-Action Cycle. Springer Series in Cognitive and Neural Systems, pp. 573–600. Springer, New York (2011)CrossRefGoogle Scholar
  5. 5.
    Harrison, J.: Handbook of practical logic and automated reasoning. Cambridge University Press (2009)Google Scholar
  6. 6.
    Rumelhart, D., McClelland, J.: Parallel distributed processing: Psychological and biological models, vol. 2. The MIT Press (1986)Google Scholar
  7. 7.
    Pearl, J.: Probabilistic reasoning in intelligent systems: networks of plausible inference. Morgan Kaufmann (1988)Google Scholar
  8. 8.
    Russell, S., Norvig, P.: Artificial intelligence: a modern approach. Prentice-Hall (2010)Google Scholar
  9. 9.
    Kurup, U., Lebiere, C., Stentz, A.: Integrating Perception and Cognition for AGI. In: Schmidhuber, J., Thórisson, K.R., Looks, M. (eds.) AGI 2011. LNCS (LNAI), vol. 6830, pp. 102–111. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  10. 10.
    Gärdenfors, P.: Conceptual spaces. MIT Press (2000)Google Scholar
  11. 11.
    Sloutsky, V., Fisher, A.: Induction and categorization in young children: A similarity-based model. Journal of Experimental Psychology 133(2), 166–188 (2004)CrossRefGoogle Scholar
  12. 12.
    Strannegård, C., Ulfsbäcker, S., Hedqvist, D., Gärling, T.: Reasoning Processes in Propositional Logic. Journal of Logic, Language and Information 19(3), 283–314 (2010)MATHCrossRefGoogle Scholar
  13. 13.
    Strannegård, C., Amirghasemi, M., Ulfsbäcker, S.: An anthropomorphic method for number sequence problems. Cognitive Systems Research (2012)Google Scholar
  14. 14.
    Baars, B., Gage, N.: Cognition, brain, and consciousness: Introduction to cognitive neuroscience. Academic Press (2010)Google Scholar
  15. 15.
    West, D.H.D.: Updating mean and variance estimates: an improved method. Commun. ACM 22(9), 532–535 (1979)MATHCrossRefGoogle Scholar
  16. 16.
    Wixted, J.: The psychology and neuroscience of forgetting. Annu. Rev. Psychol. 55, 235–269 (2004)CrossRefGoogle Scholar
  17. 17.
    Olier, J.S.: Transparent neural networks, an implementation. Master’s thesis, Chalmers University of Technology (2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Claes Strannegård
    • 1
    • 2
  • Olle Häggström
    • 3
  • Johan Wessberg
    • 4
  • Christian Balkenius
    • 5
  1. 1.Department of Philosophy, Linguistics and Theory of ScienceUniversity of GothenburgSweden
  2. 2.Department of Applied Information TechnologyChalmers University of TechnologySweden
  3. 3.Department of Mathematical SciencesChalmers University of TechnologySweden
  4. 4.Institute of Neuroscience and PhysiologyUniversity of GothenburgSweden
  5. 5.Department of PhilosophyLund UniversitySweden

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