Social Dilemmas in Computational Ecosystems
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Distributed AI. Pages 711-717.
Abstract
Computational ecosystems are large distributed systems in which autonomous agents make choices asynchronously based on locally available information which can be uncertain and delayed. They share these characteristics with biological ecosystems, human societies and market economies. We show that, even when designed with a single overall goal in mind as in the case of distributed problem solving, computational ecosystems can face well-known social dilemmas of sustaining cooperative behavior among selfish agents. Specifically, public-goods problems, where a common good is available to all regardless of individual contribution, can arise due to information limitations as well as the commonly recognized incentive conflicts. Some techniques for mitigating the impact of these problems are also presented.
@inproceedings{ijcai1995p93,
title = {Social Dilemmas in Computational Ecosystems},
author = {Hogg, Tad},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {711--717},
year = {1995},
note = {Distributed AI},
url = {https://ijcai.org/proceedings/1995/93},
}
TY - CPAPER TI - Social Dilemmas in Computational Ecosystems AU - Hogg, Tad T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 711 EP - 717 UR - https://ijcai.org/proceedings/1995/93 ER -Copied
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