The Last One Standing?: Recent Findings on the Feasibility of Indirect Reciprocity under Private Assessment

Marcus Krellner; The Anh Han

The Last One Standing? Recent Findings on the Feasibility of Indirect Reciprocity under Private Assessment

Marcus Krellner, The Anh Han

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Indirect reciprocity (IR) is an important mechanism for promoting cooperation among self-interested agents. Simplified, it means: “you help me, therefore somebody else will help you” (in contrast to direct reciprocity: “you help me; therefore I will help you”). IR can be achieved via reputation and norms. However, it was often argued that IR only works if reputations are public and does not do so under private assessment (PriA). Yet, recent papers suggest that IR under PriA is feasible, and that it has more variety and ways to improve, than have been considered before.

Original language	English
Title of host publication	ALIFE 2022
Subtitle of host publication	The 2022 Conference on Artificial Life
Publisher	MIT Press
Number of pages	3
Publication status	Published - 18 Jul 2022
Event	ALIFE 2022: The 2022 Conference on Artificial Life - University of Trento, Trento, Italy Duration: 18 Jul 2022 → 22 Oct 2022 https://direct.mit.edu/isal/isal/volume/34

Publication series

Name	The 2022 Conference on Artificial Life

Conference

Conference	ALIFE 2022
Abbreviated title	ALIFE 2022
Country/Territory	Italy
City	Trento
Period	18/07/22 → 22/10/22
Internet address	https://direct.mit.edu/isal/isal/volume/34

Access to Document

https://direct.mit.edu/isal/proceedings/isal/34/40/112263Licence: Unspecified

Cite this

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title = "The Last One Standing?: Recent Findings on the Feasibility of Indirect Reciprocity under Private Assessment",

abstract = "Indirect reciprocity (IR) is an important mechanism for promoting cooperation among self-interested agents. Simplified, it means: “you help me, therefore somebody else will help you” (in contrast to direct reciprocity: “you help me; therefore I will help you”). IR can be achieved via reputation and norms. However, it was often argued that IR only works if reputations are public and does not do so under private assessment (PriA). Yet, recent papers suggest that IR under PriA is feasible, and that it has more variety and ways to improve, than have been considered before.",

author = "Marcus Krellner and Han, {The Anh}",

year = "2022",

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language = "English",

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booktitle = "ALIFE 2022",

note = "ALIFE 2022 : The 2022 Conference on Artificial Life, ALIFE 2022 ; Conference date: 18-07-2022 Through 22-10-2022",

url = "https://direct.mit.edu/isal/isal/volume/34",

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AU - Han, The Anh

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N2 - Indirect reciprocity (IR) is an important mechanism for promoting cooperation among self-interested agents. Simplified, it means: “you help me, therefore somebody else will help you” (in contrast to direct reciprocity: “you help me; therefore I will help you”). IR can be achieved via reputation and norms. However, it was often argued that IR only works if reputations are public and does not do so under private assessment (PriA). Yet, recent papers suggest that IR under PriA is feasible, and that it has more variety and ways to improve, than have been considered before.

AB - Indirect reciprocity (IR) is an important mechanism for promoting cooperation among self-interested agents. Simplified, it means: “you help me, therefore somebody else will help you” (in contrast to direct reciprocity: “you help me; therefore I will help you”). IR can be achieved via reputation and norms. However, it was often argued that IR only works if reputations are public and does not do so under private assessment (PriA). Yet, recent papers suggest that IR under PriA is feasible, and that it has more variety and ways to improve, than have been considered before.

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