Modelling stereotyping in cooperation systems

Bedewi, Wafi, Whitaker, Roger M. ORCID: https://orcid.org/0000-0002-8473-1913, Colombo, Gualtiero B., Allen, Stuart M. ORCID: https://orcid.org/0000-0003-1776-7489 and Dunham, Yarrow 2019. Modelling stereotyping in cooperation systems. Presented at: ICCCI: International Conference on Computational Collective Intelligence 2019, Hendaye, France, 4-6 September 2019. Published in: Nguyen, Ngoc Thanh, Chbeir, Richard, Exposito, Ernesto, Aniorte, Philippe and Trawiński, Bogdan eds. Computational Collective Intelligence: 11th International Conference, ICCCI 2019, Hendaye, France, September 4–6, 2019, Proceedings, Part I. Lecture Notes in Computer Science , vol.11683 Cham: Springer Nature, -. 10.1007/978-3-030-28377-3_10

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Abstract

Cooperation is a sophisticated example of collective intelligence. This is particularly the case for indirect reciprocity, where benefit is provided to others without a guarantee of a future return. This is becoming increasingly relevant to future technology, where autonomous machines face cooperative dilemmas. This paper addresses the problem of stereotyping, where traits belonging to an individual are used as proxy when assessing their reputation. This is a cognitive heuristic that humans frequently use to avoid deliberation, but can lead to negative societal implications such as discrimination. It is feasible that machines could be equally susceptible. Our contribution concerns a new and general framework to examine how stereotyping affects the reputation of agents engaging in indirect reciprocity. The framework is flexible and focuses on how reputations are shared. This offers the opportunity to assess the interplay between the sharing of traits and the cost, in terms of reduced cooperation, through opportunities for shirkers to benefit. This is demonstrated using a number of key scenarios. In particular, the results show that cooperation is sensitive to the structure of reputation sharing between individuals.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Advanced Research Computing @ Cardiff (ARCCA) Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords:	Stereotyping, Cooperation, Indirect reciprocity, Reputation
Publisher:	Springer Nature
ISBN:	9783030283773
Date of First Compliant Deposit:	4 February 2020
Last Modified:	14 Jun 2024 15:34
URI:	https://orca.cardiff.ac.uk/id/eprint/125472

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