Building ethical machines may involve bestowing upon them the emotional capacity to self-evaluate and repent on their actions. While reparative measures, such as apologies, are often considered as possible strategic interactions, the explicit evolution of the emotion of guilt as a behavioural phenotype is not yet well understood. Here, we study the co-evolution of social and non-social guilt of homogeneous or heterogeneous populations, including well-mixed, lattice and scale-free networks. Social guilt comes at a cost, as it requires agents to make demanding efforts to observe and understand others, while non-social guilt only requires the awareness of the agents' own state and hence incurs no social cost. Those choosing to be non-social are however more sensitive to exploitation by other agents due to their social unawareness. Resorting to methods from evolutionary game theory, we study whether such social and non-social guilt can evolve, depending on the underlying structure of the populations or systems of agents. In structured population settings, both social and non-social guilt can evolve through clustering with emotional prone strategies, allowing them to be protected from exploiters, especially in case of non-social (less costly) strategies. Overall, our findings provide important insights into the design and engineering of self-organised and distributed cooperative multi-agent systems.
|Title of host publication||AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems|
|Publisher||International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)|
|Number of pages||3|
|Publication status||Published - 30 May 2023|
|Event||22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023 - London, United Kingdom|
Duration: 29 May 2023 → 2 Jun 2023
|Name||Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS|
|Conference||22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023|
|Period||29/05/23 → 2/06/23|
Bibliographical noteFunding Information:
T.C. is supported by the John Templeton Foundation (grant no. 62281).
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