An Adaptive Affective Social Decision Making Model

O. Sharpanskykh; J. Treur

doi:10.1007/978-3-642-34274-5_52

An Adaptive Affective Social Decision Making Model

O. Sharpanskykh, J. Treur

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-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.

Original language	English
Title of host publication	Biologically Inspired Cognitive Architectures 2012
Subtitle of host publication	Proceedings of the Third Annual Meeting of the BICA Society
Editors	R. Pirrone
Publisher	Springer Verlag
Pages	299-308
Number of pages	10
ISBN (Electronic)	9783642342745
DOIs	https://doi.org/10.1007/978-3-642-34274-5_52
Publication status	Published - 2013
Event	Third International Conference on Biologically Inspired Cognitive Architectures, BICA'12 - Duration: 1 Jan 2012 → 1 Jan 2012

Publication series

Name	Advances in intelligent systems and computing
Volume	196
ISSN (Electronic)	2194-5357

Conference

Conference	Third International Conference on Biologically Inspired Cognitive Architectures, BICA'12
Period	1/01/12 → 1/01/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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

Persistent URL (handle)

Copy link address

Cite this

@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",

note = "Third International Conference on Biologically Inspired Cognitive Architectures, BICA'12 ; Conference date: 01-01-2012 Through 01-01-2012",

}

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 proceeding › Conference contribution › Academic › peer-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

T2 - Third International Conference on Biologically Inspired Cognitive Architectures, BICA'12

Y2 - 1 January 2012 through 1 January 2012

ER -

An Adaptive Affective Social Decision Making Model

Abstract

Publication series

Conference

UN SDGs

Access to Document

Persistent URL (handle)

Fingerprint

Cite this