Zombie Politics: Evolutionary Algorithms to Counteract the Spread of Negative Opinions

作者: Ronald Hochreiter , Christoph Waldhauser

DOI: 10.1007/S00500-019-04251-5

关键词: ZombieCultural algorithmPersuasionEvolutionary algorithmOutbreakOutcome (game theory)Computer securityComputational intelligenceComputer sciencePolitics

摘要: This paper is about simulating the spread of opinions in a society and finding ways to counteract that spread. To abstract away from potentially emotionally laden opinions, we instead simulate zombie outbreak society. The virus causing this different traditional approaches: It not only causes binary outcome (healthy vs. infected) but rather continuous outcome. outbreak, discrete number infection-level-specific treatments are available. corresponds acts mild persuasion or threats legal action opinion spreading use case. offers genetic cultural algorithm find optimal mixture during run simulation. They assessed scenarios. shown albeit far being perfect, delivers superior performance at lower computational expense.

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