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Social norms and co...
Social norms and cooperation in a collective-risk social dilemma : Comparing reinforcing learning and norm-based approaches
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- Payette, N. (author)
- University of Oxford, School of Geography and the Environment, United Kingdom
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- Szekely, A. (author)
- Collegio Carlo Alberto, Department of Social and Political Sciences, Italy
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- Andrighetto, Giulia (author)
- Mälardalens högskola,Utbildningsvetenskap och Matematik,MAM
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers Inc. 2020
- 2020
- English.
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In: 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020. - : Institute of Electrical and Electronics Engineers Inc.. - 9781728160757 ; , s. 1403-1406
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
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- Human cooperation is both powerful and puzzling. Large-scale cooperation among genetically unrelated individuals makes humans unique with respect to all other animal species. Therefore, learning how cooperation emerges and persists is a key question for social scientists. Recently, scholars have recognized the importance of social norms as solutions to major local and large-scale collective action problems, from the management of water resources to the reduction of smoking in public places to the change in fertility practices. Yet a well-founded model of the effect of social norms on human cooperation is still lacking.We present here a version of the Experience-Weighted Attraction (EWA) reinforcement learning model that integrates norm-based considerations into its utility function that we call EWA+Norms. We compare the behaviour of this hybrid model to the standard EWA when applied to a collective risk social dilemma in which groups of individuals must reach a threshold level of cooperation to avoid the risk of catastrophe. We find that standard EWA is not sufficient for generating cooperation, but that EWA+Norms is. Next step is to compare simulation results with human behaviour in large-scale experiments.
Subject headings
- SAMHÄLLSVETENSKAP -- Annan samhällsvetenskap (hsv//swe)
- SOCIAL SCIENCES -- Other Social Sciences (hsv//eng)
Keyword
- Agricultural robots
- Behavioral research
- Disaster prevention
- Reinforcement learning
- Water management
- Collective action
- Human behaviours
- Large scale experiments
- Reinforcement learning models
- Social scientists
- Threshold levels
- Utility functions
- Well-founded models
- Social robots
Publication and Content Type
- ref (subject category)
- kon (subject category)
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