Conditions for the evolution of apology and forgiveness in populations of autonomous agents

Tom Lenaerts, Luís A. Martinez-Vaquero, The Anh Han, Luís Moniz Pereira

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We report here on our previous research on the evolution of commitment behaviour in the one-off and iterated prisoner's dilemma and relate it to the issue of designing non-human autonomous online systems. We show that it was necessary to introduce an apology/forgiveness mechanism in the iterated case since without this restorative mechanism strategies evolve that take revenge when the agreement fails. As before in online interaction systems, apology and forgiveness seem to provide important mechanisms to repair trust. As such, these result provide, next to the insight into our own moral and ethical considerations, ideas into how (and also why) similar mechanisms can be designed into the repertoire of actions that can be taken by non-human autonomous agents.

Original languageEnglish
Title of host publication2016 AAAI Spring Symposium Series - Collected Papers from the AAAI Spring Symposia
PublisherAI Access Foundation
Pages242-248
Number of pages7
VolumeSS-16-01 - 07
ISBN (Electronic)9781577357544
Publication statusPublished - 1 Jan 2016
Event2016 AAAI Spring Symposium - Palo Alto, United States
Duration: 21 Mar 201623 Mar 2016

Conference

Conference2016 AAAI Spring Symposium
CountryUnited States
CityPalo Alto
Period21/03/1623/03/16

Keywords

  • Autonomous agents
  • Ethical considerations
  • Iterated prisoner's dilemma
  • On-line interactions

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  • Cite this

    Lenaerts, T., Martinez-Vaquero, L. A., Han, T. A., & Pereira, L. M. (2016). Conditions for the evolution of apology and forgiveness in populations of autonomous agents. In 2016 AAAI Spring Symposium Series - Collected Papers from the AAAI Spring Symposia (Vol. SS-16-01 - 07, pp. 242-248). AI Access Foundation.