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Abstract
Cooperative behaviour is a fundamental strategy for survival; it positively affects economies, social relationships, and makes larger societal structures possible. People vary, however, in their willingness to engage in cooperative behaviour in a particular context. Here we examine whether AI can be effectively used to to alter individuals' implicit understanding of cooperative dynamics, and hence increase cooperation and participation in public goods projects. We developed an intervention - the Sustainability Game (SG) - to allow players to experience the consequences of individual investment strategies on a sustainable society. Results show that the intervention significantly increases individuals' cooperative behaviour in partially anonymised public goods contexts, but enhances competition one-on-one. This indicates our intervention does improve transparency of the systemic consequences of individual cooperative behaviour.
Original language | English |
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Title of host publication | IEEE Conference on Games 2019, CoG 2019 |
Publisher | IEEE |
Number of pages | 4 |
ISBN (Electronic) | 9781728118840 |
ISBN (Print) | 9781728118840 |
DOIs | |
Publication status | Published - 24 Jul 2019 |
Publication series
Name | IEEE Conference on Computatonal Intelligence and Games, CIG |
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Volume | 2019-August |
ISSN (Print) | 2325-4270 |
ISSN (Electronic) | 2325-4289 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Agent-based modelling
- Behavioural economics
- Persuasive technologies
- Serious games
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
- Human-Computer Interaction
- Software
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