Abstract
When interactions are repeated mistakes, whether intentionally or not, tend to occur. Researchers
have argued that revenge, apology and forgiveness are mechanisms that humans have acquired to ensure
that intentional mistakes are avoided and that mutually beneficial relationships can continue. We
have shown in the context of the iterated prisoners dilemma wherein agents can decide to make cooperative
agreements that these three behaviours emerge spontaneously. Concretely our work reveals
that apology and forgiveness are very efficient even in a very noisy environment and ensure long lasting
relationships. Yet in order for apology to work, it needs to be sufficiently costly otherwise taking
revenge by defecting is the most profitable behaviour. This research has direct implications for online
socio-technological systems who’s success depends on the trust users (and agents) have in the other
users (or agents) participating in the system.
Original language | English |
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DOIs | |
Publication status | Published - 11 Nov 2016 |
Event | 28th Annual Benelux Conference on Artificial Intelligence - Amsterdam, Netherlands Duration: 10 Nov 2016 → 11 Nov 2016 |
Conference
Conference | 28th Annual Benelux Conference on Artificial Intelligence |
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Abbreviated title | BNAIC 2016 |
Country/Territory | Netherlands |
City | Amsterdam |
Period | 10/11/16 → 11/11/16 |
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The Anh Han
- Department of Computing & Games - Professor (Computer Science)
- Centre for Digital Innovation
Person: Professorial, Academic