An agent-based collective model to simulate peer pressure effect on energy consumption

Fatima Abdallah; Shadi Basurra; Mohamed Medhat Gaber

doi:10.1007/978-3-319-98443-8_26

An agent-based collective model to simulate peer pressure effect on energy consumption

Fatima Abdallah, Shadi Basurra^*, Mohamed Medhat Gaber

^*Corresponding author for this work

Birmingham City University

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

1 Citation (Scopus)

Original language	English
Title of host publication	Computational Collective Intelligence - 10th International Conference, ICCCI 2018, Proceedings
Editors	Ngoc Thanh Nguyen, Elias Pimenidis, Zaheer Khan, Bogdan Trawinski, Ngoc Thanh Nguyen
Publisher	Springer Verlag
Pages	283-296
Number of pages	14
ISBN (Print)	9783319984421
DOIs	https://doi.org/10.1007/978-3-319-98443-8_26
Publication status	Published (VoR) - 2018
Event	10th International Conference on Computational Collective Intelligence, ICCCI 2018 - Bristol, United Kingdom Duration: 5 Sept 2018 → 7 Sept 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11055 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Computational Collective Intelligence, ICCCI 2018
Country/Territory	United Kingdom
City	Bristol
Period	5/09/18 → 7/09/18

Access to Document

10.1007/978-3-319-98443-8_26

Cite this

Abdallah, F., Basurra, S., & Gaber, M. M. (2018). An agent-based collective model to simulate peer pressure effect on energy consumption. In N. T. Nguyen, E. Pimenidis, Z. Khan, B. Trawinski, & N. T. Nguyen (Eds.), Computational Collective Intelligence - 10th International Conference, ICCCI 2018, Proceedings (pp. 283-296). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11055 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-98443-8_26

Abdallah, Fatima ; Basurra, Shadi ; Gaber, Mohamed Medhat. / An agent-based collective model to simulate peer pressure effect on energy consumption. Computational Collective Intelligence - 10th International Conference, ICCCI 2018, Proceedings. editor / Ngoc Thanh Nguyen ; Elias Pimenidis ; Zaheer Khan ; Bogdan Trawinski ; Ngoc Thanh Nguyen. Springer Verlag, 2018. pp. 283-296 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{97ce93566c6b44749fb12d3f5cbdb962,

title = "An agent-based collective model to simulate peer pressure effect on energy consumption",

author = "Fatima Abdallah and Shadi Basurra and Gaber, {Mohamed Medhat}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 10th International Conference on Computational Collective Intelligence, ICCCI 2018 ; Conference date: 05-09-2018 Through 07-09-2018",

year = "2018",

doi = "10.1007/978-3-319-98443-8_26",

language = "English",

isbn = "9783319984421",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "283--296",

editor = "Nguyen, {Ngoc Thanh} and Elias Pimenidis and Zaheer Khan and Bogdan Trawinski and Nguyen, {Ngoc Thanh}",

booktitle = "Computational Collective Intelligence - 10th International Conference, ICCCI 2018, Proceedings",

}

Abdallah, F, Basurra, S & Gaber, MM 2018, An agent-based collective model to simulate peer pressure effect on energy consumption. in NT Nguyen, E Pimenidis, Z Khan, B Trawinski & NT Nguyen (eds), Computational Collective Intelligence - 10th International Conference, ICCCI 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11055 LNAI, Springer Verlag, pp. 283-296, 10th International Conference on Computational Collective Intelligence, ICCCI 2018, Bristol, United Kingdom, 5/09/18. https://doi.org/10.1007/978-3-319-98443-8_26

An agent-based collective model to simulate peer pressure effect on energy consumption. / Abdallah, Fatima; Basurra, Shadi; Gaber, Mohamed Medhat.
Computational Collective Intelligence - 10th International Conference, ICCCI 2018, Proceedings. ed. / Ngoc Thanh Nguyen; Elias Pimenidis; Zaheer Khan; Bogdan Trawinski; Ngoc Thanh Nguyen. Springer Verlag, 2018. p. 283-296 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11055 LNAI).

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

TY - GEN

T1 - An agent-based collective model to simulate peer pressure effect on energy consumption

AU - Abdallah, Fatima

AU - Basurra, Shadi

AU - Gaber, Mohamed Medhat

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2018.

PY - 2018

Y1 - 2018

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UR - http://www.scopus.com/inward/citedby.url?scp=85053177116&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-98443-8_26

DO - 10.1007/978-3-319-98443-8_26

M3 - Conference contribution

AN - SCOPUS:85053177116

SN - 9783319984421

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 283

EP - 296

BT - Computational Collective Intelligence - 10th International Conference, ICCCI 2018, Proceedings

A2 - Nguyen, Ngoc Thanh

A2 - Pimenidis, Elias

A2 - Khan, Zaheer

A2 - Trawinski, Bogdan

A2 - Nguyen, Ngoc Thanh

PB - Springer Verlag

T2 - 10th International Conference on Computational Collective Intelligence, ICCCI 2018

Y2 - 5 September 2018 through 7 September 2018

ER -

Abdallah F, Basurra S, Gaber MM. An agent-based collective model to simulate peer pressure effect on energy consumption. In Nguyen NT, Pimenidis E, Khan Z, Trawinski B, Nguyen NT, editors, Computational Collective Intelligence - 10th International Conference, ICCCI 2018, Proceedings. Springer Verlag. 2018. p. 283-296. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-98443-8_26

An agent-based collective model to simulate peer pressure effect on energy consumption

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REF2021_11Z_ICS_B Optimising the retrofitting of energy-efficient systems using algorithms: saving costs and improving lives

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An agent-based collective model to simulate peer pressure effect on energy consumption

Publication series

Conference

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Impacts

REF2021_11Z_ICS_B Optimising the retrofitting of energy-efficient systems using algorithms: saving costs and improving lives

Cite this