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Modelling Stereotyping in Cooperation Systems

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Computational Collective Intelligence (ICCCI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11683))

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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.

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Acknowledgements

W. Bedewi is funded by King Abdulaziz University, Saudi Arabia. Additionally the research was sponsored by the U.S. Army Research Laboratory and the U.K. Ministry of Defence under Agreement Number W911NF-16-3-0001. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S. Army Research Laboratory, the U.S. Government, the U.K. Ministry of Defence or the U.K. Government. The U.S. and U.K. Governments are authorized to reproduce and distribute reprints for Government purposes not with standing any copyright notation hereon. This research was also supported by the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government.

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Authors and Affiliations

  1. School of Computer Science and Informatics, Cardiff University, Cardiff, UK

    Wafi Bedewi, Roger M. Whitaker, Gualtiero B. Colombo & Stuart M. Allen

  2. Department of Psychology, Yale University, New Haven, CT, 06511, USA

    Yarrow Dunham

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  1. Wafi Bedewi
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  2. Roger M. Whitaker
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  3. Gualtiero B. Colombo
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  4. Stuart M. Allen
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  5. Yarrow Dunham
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Correspondence to Wafi Bedewi .

Editor information

Editors and Affiliations

  1. Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. University of Pau and Pays de l’Adour, Pau, France

    Richard Chbeir

  3. University of Pau and Pays de l’Adour, Pau, France

    Ernesto Exposito

  4. University of Pau and Pays de l’Adour, Pau, France

    Philippe Aniorté

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Bedewi, W., Whitaker, R.M., Colombo, G.B., Allen, S.M., Dunham, Y. (2019). Modelling Stereotyping in Cooperation Systems. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11683. Springer, Cham. https://doi.org/10.1007/978-3-030-28377-3_10

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  • DOI: https://doi.org/10.1007/978-3-030-28377-3_10

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-28377-3

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