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International Work-Conference on Artificial Neural Networks

IWANN 2015: Advances in Computational Intelligence pp 415–429Cite as

On Structures with Emergent Computing Properties. A Connectionist versus Control Engineering Approach

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9094))

Abstract

This paper starts by revisiting some founding, classical ideas for Neural Networks as Artificial Intelligence devices. The basic functionality of these devices is given by stability related properties such as the gradient-like and other collective qualitative behaviors. These properties can be linked to the structural – connectionist – approach. A version of this approach is offered by the hyperstability theory which is presented in brief (its essentials) in the paper. The hyperstability of an isolated Hopfield neuron and the interconnection of these neurons in hyperstable structures are discussed. It is shown that the so-called “triplet” of neurons has good stability properties with a non-symmetric weight matrix. This suggests new approaches in developing of Artificial Intelligence devices based on the triplet interconnection of elementary systems (neurons) in order to obtain new useful emergent collective computational properties.

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Author information

Authors and Affiliations

  1. Department of Automation and Electronics, University of Craiova, 13, A.I. Cuza str., 200585, Craiova, Romania

    Daniela Danciu & Vladimir Răsvan

Authors
  1. Daniela Danciu
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  2. Vladimir Răsvan
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Corresponding authors

Correspondence to Daniela Danciu or Vladimir Răsvan .

Editor information

Editors and Affiliations

  1. University of Granada, Granada, Spain

    Ignacio Rojas

  2. University of Malaga, Malaga, Spain

    Gonzalo Joya

  3. Polytechnic University of Catalonia, Vilanova i la Geltrú, Spain

    Andreu Catala

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Danciu, D., Răsvan, V. (2015). On Structures with Emergent Computing Properties. A Connectionist versus Control Engineering Approach. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2015. Lecture Notes in Computer Science(), vol 9094. Springer, Cham. https://doi.org/10.1007/978-3-319-19258-1_35

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  • DOI: https://doi.org/10.1007/978-3-319-19258-1_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19257-4

  • Online ISBN: 978-3-319-19258-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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