Lim, SL;
Bentley, PJ;
(2018)
Coping with Uncertainty: Modelling Personality when Collaborating on Noisy Problems.
In:
ALIFE 2018: Proceedings of the Artificial Life Conference.
(pp. pp. 566-573).
MIT Press
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Abstract
Collaboration is an essential aspect of human interaction. Despite being mutually beneficial to everyone involved, it often fails due to behaviour differences as individuals process information, form opinions, and interact with each other, especially when their task contains uncertainty. Thus, to understand collaboration on noisy problems effectively, it is necessary to consider the psychology of the individuals involved. We propose an agent-based model of collaboration that incorporates human psychology. We abstract the shared goal as a shared optimisation task, and model personality differences as strategies for moving within, interpreting and sharing information about the solution space. Although used to explore a specific hypothesis here, the model is psychology theoryagnostic and problem-independent and can also be used to investigate other tasks and different psychology theories.
Type: | Proceedings paper |
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Title: | Coping with Uncertainty: Modelling Personality when Collaborating on Noisy Problems |
Event: | ALIFE 2018: The 2018 Conference on Artificial Life |
Dates: | 23 July 2018 - 27 July 2018 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1162/isal_a_00105 |
Publisher version: | https://doi.org/10.1162/isal_a_00105 |
Language: | English |
Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10078232 |



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