🤖 AI Summary
This study investigates whether the decoy effect—specifically the attraction effect—can enhance cooperative behavior in social networks. Using controlled laboratory experiments, we systematically introduced dominated, inferior decoy options within networked environments featuring varied topologies, and compared cooperation decisions across individual versus networked contexts. Results demonstrate that decoys significantly increase the selection rate of the target cooperative option, with the effect being especially pronounced in early decisions and persisting over time in network settings. Crucially, a decision-maker’s strategic network position—particularly centrality—moderates the magnitude of this effect. This work constitutes the first extension of the decoy effect to multi-agent, network-embedded cooperation scenarios. It reveals the interplay between cognitive bias and network structure, thereby advancing behavioral economics by providing novel empirical evidence and delineating theoretical boundaries for its application in complex social systems.
📝 Abstract
This paper investigates whether the decoy effect - specifically the attraction effect - can foster cooperation in social networks. In a lab experiment, we show that introducing a dominated option increases the selection of the target choice, especially in early decisions. The effect is stronger in individual settings but persists in networks despite free-riding incentives, with variation depending on the decision-maker's strategic position.