Solving the crowdsourcing dilemma using the zero-determinant strategy: poster

Qin Hu, Shengling Wang, Liran Ma, Xiuzhen Cheng, Rongfang Bie

Abstract: As a promising technology, crowdsourcing aims to accomplish a complex task via eliciting services from a large group of workers. However, recent observations indicate that the success of crowdsourcing is being hindered by the malicious behaviors of the workers. In this paper, we analyze the attack problem using an iterated prisoner's dilemma (IPD) game and propose an zero-determinant (ZD) strategy based algorithm. Simulation results demonstrate that the requestor can incentivize the worker to keep on cooperating.