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EMANN - a model of emotions in an artificial neural network.

  • University of Graz
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Host publication Subtitle

ECAL 2013: The Twelfth European Conference on Artificial Life

Original language

English

Article number

978-0-262-31709-2-ch122

Pages from-to (Number of pages)

Pages 830-837 (8 pages)

Publication milestones

  • Published - 2013

Publication status

Published - 2013

Publisher

MIT Press, United States

Publication IDs

  • Scopus: 85150150908

Host publication title

Artificial Life Conference Proceedings

Abstract

With the work at hand we want to present a model of a neural system, that is influenced by emotions. This model is based on the state of the art concept of artificial neural networks (ANN) which we improve by adding ‘artificial emotions’. The way of the implementation of emotions is basedon the research results regarding the biological and biochemical processes modulating neural cells in animals and humans. The described modulation takes place not only on the level
of synapses, but also on the level of calculations happening on the membrane of the cell, or the node of the ANN, respectively. The suggested model also includes the biological fact, that neuro modulatory glands (e.g., hypophysis) are mainly controlled by the neuronal system itself. The resulting proposed system is named EMotional Artificial Neural Network (EMANN). It shows that EMANN has different abilities, compared to ANNs without emotions.

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Citations
17
Captures
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Access to documents

Related Event

Title

European Conference on Artificial Life

Event type

Conference

Degree of recognition

International event

Date

02/09/2013 - 06/09/2013

Location

SicilyItaly