Group affect in complex decision-making: theory and formalisms from psychology and computer science

Amine Chohra, Kurosh Madani, Chantal Natalie van der Wal

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

Abstract

Integrating affect in both individual and collective decision-making processes in order to solve real-world problems can be challenging. This research aims to: (1) investigate how group affect (moods, emotions, and feelings) can be integrated and formalized in the decision-making processes; (2) develop current practices; and (3) draw ideas for future perspectives and real-world applications. For this purpose, the role of affect in decision-making is investigated on the individual behavior level, emotional intelligence, and the collective behavior level. The used methodology consists of exploring and investigating the main characteristics developed in group affect in complex decision-making systems from psychology to computer science. From this, a common global structure is deduced: individual processes, group processes and emerging processes (bottom-up, top-down, and combination of bottom-up and top-down components). Following this, one psychological model and two computational models of group emotion and decision are analyzed, and discussed. Their different approaches to developing the main characteristics of a computational model integrating group affect in the decision-making process are highlighted. Finally, specific scenarios of real-world applications are presented in order to draw interesting and promising computational model perspectives.

LanguageEnglish
Title of host publicationComputational Collective Intelligence
Subtitle of host publication10th International Conference, ICCCI 2018, Proceedings
EditorsNgoc Thanh Nguyen, Bogdan Trawinski, Elias Pimenidis, Zaheer Khan
PublisherSpringer/Verlag
Pages222-233
Number of pages12
Volume2
ISBN (Electronic)9783319984469
ISBN (Print)9783319984452
DOIs
StatePublished - 2018
Event10th International Conference on Computational Collective Intelligence, ICCCI 2018 - Bristol, United Kingdom
Duration: 5 Sep 20187 Sep 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11056 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Computational Collective Intelligence, ICCCI 2018
CountryUnited Kingdom
CityBristol
Period5/09/187/09/18

Fingerprint

Computer science
Computer Science
Decision making
Decision Making
Computational Model
Bottom-up
Real-world Applications
Mood
Collective Behavior
Psychology
Scenarios
Methodology
Emotion

Keywords

  • Affect (moods, emotions, feelings)
  • Complex systems
  • Computer science
  • Individual and collective decision-making
  • Psychology

Cite this

Chohra, A., Madani, K., & van der Wal, C. N. (2018). Group affect in complex decision-making: theory and formalisms from psychology and computer science. In N. T. Nguyen, B. Trawinski, E. Pimenidis, & Z. Khan (Eds.), Computational Collective Intelligence: 10th International Conference, ICCCI 2018, Proceedings (Vol. 2, pp. 222-233). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11056 LNAI). Springer/Verlag. DOI: 10.1007/978-3-319-98446-9_21
Chohra, Amine ; Madani, Kurosh ; van der Wal, Chantal Natalie. / Group affect in complex decision-making : theory and formalisms from psychology and computer science. Computational Collective Intelligence: 10th International Conference, ICCCI 2018, Proceedings. editor / Ngoc Thanh Nguyen ; Bogdan Trawinski ; Elias Pimenidis ; Zaheer Khan. Vol. 2 Springer/Verlag, 2018. pp. 222-233 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Chohra, A, Madani, K & van der Wal, CN 2018, Group affect in complex decision-making: theory and formalisms from psychology and computer science. in NT Nguyen, B Trawinski, E Pimenidis & Z Khan (eds), Computational Collective Intelligence: 10th International Conference, ICCCI 2018, Proceedings. vol. 2, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11056 LNAI, Springer/Verlag, pp. 222-233, 10th International Conference on Computational Collective Intelligence, ICCCI 2018, Bristol, United Kingdom, 5/09/18. DOI: 10.1007/978-3-319-98446-9_21

Group affect in complex decision-making : theory and formalisms from psychology and computer science. / Chohra, Amine; Madani, Kurosh; van der Wal, Chantal Natalie.

Computational Collective Intelligence: 10th International Conference, ICCCI 2018, Proceedings. ed. / Ngoc Thanh Nguyen; Bogdan Trawinski; Elias Pimenidis; Zaheer Khan. Vol. 2 Springer/Verlag, 2018. p. 222-233 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11056 LNAI).

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

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Chohra A, Madani K, van der Wal CN. Group affect in complex decision-making: theory and formalisms from psychology and computer science. In Nguyen NT, Trawinski B, Pimenidis E, Khan Z, editors, Computational Collective Intelligence: 10th International Conference, ICCCI 2018, Proceedings. Vol. 2. Springer/Verlag. 2018. p. 222-233. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Available from, DOI: 10.1007/978-3-319-98446-9_21