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

Ronald Thenius; Payam Zahadat; Thomas Schmickl

doi:10.7551/978-0-262-31709-2-ch122

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

Ronald Thenius
, Payam Zahadat
, Thomas Schmickl

University of Graz

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

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.

Original language	English
Title of host publication	Artificial Life Conference Proceedings : ECAL 2013: The Twelfth European Conference on Artificial Life
Number of pages	8
Publisher	MIT Press
Publication date	2013
Pages	830-837
Article number	978-0-262-31709-2-ch122
DOIs	https://doi.org/10.7551/978-0-262-31709-2-ch122
Publication status	Published - 2013
Externally published	Yes
Event	European Conference on Artificial Life - Sicily, Italy Duration: 2 Sept 2013 → 6 Sept 2013 Conference number: 12th

Conference

Conference	European Conference on Artificial Life
Number	12th
Country/Territory	Italy
City	Sicily
Period	02/09/2013 → 06/09/2013

Keywords

Emotional artificial neural networks
Membrane-level processing in artificial neurons
Neuroendocrine regulation in neural networks
Neurobiological modulation of computation
Affective computing

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10.7551/978-0-262-31709-2-ch122Licence: Unspecified

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title = "EMANN - a model of emotions in an artificial neural network.",

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 {\textquoteleft}artificial emotions{\textquoteright}. 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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author = "Ronald Thenius and Payam Zahadat and Thomas Schmickl",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; European Conference on Artificial Life, ECAL ; Conference date: 02-09-2013 Through 06-09-2013",

year = "2013",

doi = "10.7551/978-0-262-31709-2-ch122",

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Thenius, R, Zahadat, P & Schmickl, T 2013, EMANN - a model of emotions in an artificial neural network. in Artificial Life Conference Proceedings: ECAL 2013: The Twelfth European Conference on Artificial Life., 978-0-262-31709-2-ch122, MIT Press, pp. 830-837, European Conference on Artificial Life, Sicily, Italy, 02/09/2013. https://doi.org/10.7551/978-0-262-31709-2-ch122

EMANN - a model of emotions in an artificial neural network. / Thenius, Ronald; Zahadat, Payam; Schmickl, Thomas.
Artificial Life Conference Proceedings: ECAL 2013: The Twelfth European Conference on Artificial Life. MIT Press, 2013. p. 830-837 978-0-262-31709-2-ch122.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

TY - GEN

T1 - EMANN - a model of emotions in an artificial neural network.

AU - Thenius, Ronald

AU - Zahadat, Payam

AU - Schmickl, Thomas

N1 - Conference code: 12th

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Emotional artificial neural networks

KW - Membrane-level processing in artificial neurons

KW - Neuroendocrine regulation in neural networks

KW - Neurobiological modulation of computation

KW - Affective computing

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DO - 10.7551/978-0-262-31709-2-ch122

M3 - Article in proceedings

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EP - 837

BT - Artificial Life Conference Proceedings

PB - MIT Press

T2 - European Conference on Artificial Life

Y2 - 2 September 2013 through 6 September 2013

ER -

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

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Conference

Keywords

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