An Adaptive Affective Social Decision Making Model

O. Sharpanskykh, J. Treur

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Social decision making under stressful circumstances may involve strong emotions and contagion from others, and requires adequate prediction and valuation capabilities. In this paper based on principles from Neuroscience an adaptive agent-based computational model is proposed to address these aspects in an integrative manner. Using this model adaptive decision making of an agent in an emergency evacuation scenario is explored. By simulation computational learning mechanisms are identified required for effective decision making of agents.
LanguageEnglish
Title of host publicationBiologically Inspired Cognitive Architectures 2012
Subtitle of host publicationProceedings of the Third Annual Meeting of the BICA Society
EditorsR. Pirrone
PublisherSpringer Verlag
Pages299-308
Number of pages10
ISBN (Electronic)9783642342745
DOIs
Publication statusPublished - 2013
EventThird International Conference on Biologically Inspired Cognitive Architectures, BICA'12 -
Duration: 1 Jan 20121 Jan 2012

Publication series

NameAdvances in intelligent systems and computing
Volume196
ISSN (Electronic)2194-5357

Conference

ConferenceThird International Conference on Biologically Inspired Cognitive Architectures, BICA'12
Period1/01/121/01/12

Fingerprint

Decision making

Cite this

Sharpanskykh, O., & Treur, J. (2013). An Adaptive Affective Social Decision Making Model. In R. Pirrone (Ed.), Biologically Inspired Cognitive Architectures 2012: Proceedings of the Third Annual Meeting of the BICA Society (pp. 299-308). (Advances in intelligent systems and computing; Vol. 196). Springer Verlag. https://doi.org/10.1007/978-3-642-34274-5_52
Sharpanskykh, O. ; Treur, J. / An Adaptive Affective Social Decision Making Model. Biologically Inspired Cognitive Architectures 2012: Proceedings of the Third Annual Meeting of the BICA Society. editor / R. Pirrone. Springer Verlag, 2013. pp. 299-308 (Advances in intelligent systems and computing).
@inproceedings{e20e3e39e44f4225929f6ea70a88eebb,
title = "An Adaptive Affective Social Decision Making Model",
abstract = "Social decision making under stressful circumstances may involve strong emotions and contagion from others, and requires adequate prediction and valuation capabilities. In this paper based on principles from Neuroscience an adaptive agent-based computational model is proposed to address these aspects in an integrative manner. Using this model adaptive decision making of an agent in an emergency evacuation scenario is explored. By simulation computational learning mechanisms are identified required for effective decision making of agents.",
author = "O. Sharpanskykh and J. Treur",
year = "2013",
doi = "10.1007/978-3-642-34274-5_52",
language = "English",
series = "Advances in intelligent systems and computing",
publisher = "Springer Verlag",
pages = "299--308",
editor = "R. Pirrone",
booktitle = "Biologically Inspired Cognitive Architectures 2012",

}

Sharpanskykh, O & Treur, J 2013, An Adaptive Affective Social Decision Making Model. in R Pirrone (ed.), Biologically Inspired Cognitive Architectures 2012: Proceedings of the Third Annual Meeting of the BICA Society. Advances in intelligent systems and computing, vol. 196, Springer Verlag, pp. 299-308, Third International Conference on Biologically Inspired Cognitive Architectures, BICA'12, 1/01/12. https://doi.org/10.1007/978-3-642-34274-5_52

An Adaptive Affective Social Decision Making Model. / Sharpanskykh, O.; Treur, J.

Biologically Inspired Cognitive Architectures 2012: Proceedings of the Third Annual Meeting of the BICA Society. ed. / R. Pirrone. Springer Verlag, 2013. p. 299-308 (Advances in intelligent systems and computing; Vol. 196).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - An Adaptive Affective Social Decision Making Model

AU - Sharpanskykh, O.

AU - Treur, J.

PY - 2013

Y1 - 2013

N2 - Social decision making under stressful circumstances may involve strong emotions and contagion from others, and requires adequate prediction and valuation capabilities. In this paper based on principles from Neuroscience an adaptive agent-based computational model is proposed to address these aspects in an integrative manner. Using this model adaptive decision making of an agent in an emergency evacuation scenario is explored. By simulation computational learning mechanisms are identified required for effective decision making of agents.

AB - Social decision making under stressful circumstances may involve strong emotions and contagion from others, and requires adequate prediction and valuation capabilities. In this paper based on principles from Neuroscience an adaptive agent-based computational model is proposed to address these aspects in an integrative manner. Using this model adaptive decision making of an agent in an emergency evacuation scenario is explored. By simulation computational learning mechanisms are identified required for effective decision making of agents.

U2 - 10.1007/978-3-642-34274-5_52

DO - 10.1007/978-3-642-34274-5_52

M3 - Conference contribution

T3 - Advances in intelligent systems and computing

SP - 299

EP - 308

BT - Biologically Inspired Cognitive Architectures 2012

A2 - Pirrone, R.

PB - Springer Verlag

ER -

Sharpanskykh O, Treur J. An Adaptive Affective Social Decision Making Model. In Pirrone R, editor, Biologically Inspired Cognitive Architectures 2012: Proceedings of the Third Annual Meeting of the BICA Society. Springer Verlag. 2013. p. 299-308. (Advances in intelligent systems and computing). https://doi.org/10.1007/978-3-642-34274-5_52