首页|Universidad San Francisco de Quito Researchers Provide New Insights into Artificial Intelligence (Simulation of ultimatum game with artificial intelligence and biases)
Universidad San Francisco de Quito Researchers Provide New Insights into Artificial Intelligence (Simulation of ultimatum game with artificial intelligence and biases)
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Researchers detail new data in artificial intelligence. According to news reporting out of the Universidad San Francisco de Quito by NewsRx editors, research stated, “In this research we have developed experimental designs of the ultimatum game with supervised agents.” Our news editors obtained a quote from the research from Universidad San Francisco de Quito: “This agents have unbiased and biased thinking depending on the case. We used Reinforcement Learning and Bucket Brigade to program the artficial agentes. We used simulations and behavior comparison to answer the following questions: Does artificial intelligence reach a perfect subgame equilibrium in the ultimatum game experiment? How would Artificial Intelligence behave in the Ultimatum Game experiment if biased thinking is included in it? This exploratory analysis showed one important result: artificial inteligence by itself doesn´t reach a perfect subgame equilibrium. Whereas, the experimental designs with biased thinking agents quickly converge to an equilibrium.”
Universidad San Francisco de QuitoArtificial IntelligenceEmerging TechnologiesMachine Learning
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