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In a multi-agent setting, altruistic cooperation is costly yet socially desirable. As such, agents adapting through independent reinforcement learning struggle to converge to efficient, cooperative policies. Indirect reciprocity (IR) constitutes a ...

Complex networks and reputation systems are fundamental mechanisms to sustain cooperation in populations of self-regarding agents. These mechanisms are typically studied in isolation. In online social platforms, however, behavioral dynamics are likely to ...

Consumers increasingly want to know more about where and how the products they purchase are being made. To create transparency requires a company to both gain visibility into its supply chain and disclose information to consumers. In this paper, we ...

This paper investigates two channels of prosociality: indirect reciprocity and charitable giving. We conducted a natural field experiment in a hair salon in Hamburg, Germany, over the course of four months. In the baseline, we collected data on customers’ ...

Explaining cooperation between individuals is a fundamental scientific endeavour. Similarly, devising mechanisms that encourage autonomous agents to cooperate with each other is a central topic in multiagent systems. Indirect reciprocity (IR) emerged as ...

It is generally known that cooperation can be achieved in complex real-world interactions that are not limited to direct interactions only. In particular, cooperation can consider prior interactions with other players, i.e., indirect reciprocity. ...

Indirect reciprocity is a key mechanism for the evolution of human cooperation. There are normally two choices in the standard model of indirect reciprocity which works through reputation. Here we introduced the role of costly punishment into the model. ...

In densely populated cities, Wi-Fi networks—private or otherwise—are ubiquitous. We focus on the provision of citywide broadband communication capability to mobile users through private Wi-Fi networks that are in range but belong to others. We form a ...

We study protocols to enable one user (the principal) to make potentially profitable but risky interactions with another user (the agent), in the absence of direct trust between the two parties. In such situations, it is possible to enable the ...