Abstract
Recent approaches to modelling the reference of internal symbolic representations of intelligent systems suggest to consider a computational level of a subsymbolic kind. In this paper the integration between symbolic and subsymbolic processing is approached in the framework of the research work currently carried on by the authors in the field of artificial vision. An associative mapping mechanism is defined in order to relate the constructs of the symbolic representation to a geometric model of the observed scene.
The implementation of the mapping mechanism by means of a neural network architecture is described taking into account both the backpropagation architecture and the Boltzmann machine architecture. Promising experimental results are discussed.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
Ardizzone, E., Gaglio, S., Sorbello, F. (1989). Geometric and Conceptual Knowledge Representation within a Generative Model of Visual Perception, Journal of Intelligent and Robotic Systems, 2, 381–409.
Ardizzone, E., Chella, A., Frixione, M., Gaglio, S. (1990). Integrating Subsymbolic and Symbolic Processing in Artificial Vision, submitted to Journal of Intelligent Systems.
Brachman, R.J., Schmolze, J. (1985). An overview of the KL-ONE knowledge representation system, Cognitive Science, 9, 171–216.
Frixione, M., Spinelli, G., Gaglio, S. (1989). Symbols and subsymbols for representing knowledge: a catalogue raisonne', Proc. of the Tenth IJCAI, 3–7, Detroit, USA.
Gaglio, S., Spinelli, G., Tagliasco, V. (1984). Visual Perception: an Outline of a Generative Theory of Information Flow Organization, Theoretical Linguistics, 11, 21–43.
Galland, C.C., Hinton, G.E. (1989). Deterministic Boltzmann Learning in Networks with Asymmetric Connectivity, Techn. Rep. CRG-TR-89-6, University of Toronto, Canada.
Goddard, N.H., Lynne, K.J., Mintz, T., Bukys, L. (1989). Rochester Connectionist Simulator, Techn.Rep. 233, University of Rochester, New York, USA.
Pentland, A.P. (1986). Perceptual Organization and the Representation of Natural Form, Artificial Intelligence, 28, 293–331.
Smolensky, P. (1988). On the hypotheses underyingconnectionism, Behavioral and Brain Sciences, 11, 1.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1991 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ardizzone, E., Callari, F., Chella, A., Frixione, M. (1991). An associative link from geometric to symbolic representations in artificial vision. In: Ardizzone, E., Gaglio, S., Sorbello, F. (eds) Trends in Artificial Intelligence. AI*IA 1991. Lecture Notes in Computer Science, vol 549. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54712-6_245
Download citation
DOI: https://doi.org/10.1007/3-540-54712-6_245
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-54712-9
Online ISBN: 978-3-540-46443-3
eBook Packages: Springer Book Archive