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- Celso M. de Melo
- Sensors and Electron Devices Directorate, US Army Research Laboratory, Playa Vista, CA 90094-2536;
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- Stacy Marsella
- College of Computer and Information Science, Northeastern University, Boston, MA 02115;
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- Jonathan Gratch
- Institute for Creative Technologies, University of Southern California, Playa Vista, CA 90094-2536
説明
<jats:title>Significance</jats:title><jats:p>Autonomous machines that act on our behalf—such as robots, drones, and autonomous vehicles—are quickly becoming a reality. These machines will face situations where individual interest conflicts with collective interest, and it is critical we understand if people will cooperate when acting through them. Here we show, in the increasingly popular domain of autonomous vehicles, that people program their vehicles to be more cooperative than they would if driving themselves. This happens because programming machines causes selfish short-term rewards to become less salient, and that encourages cooperation. Our results further indicate that personal experience influences how machines are programmed. Finally, we show that this effect generalizes beyond the domain of autonomous vehicles and we discuss theoretical and practical implications.</jats:p>
収録刊行物
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- Proceedings of the National Academy of Sciences
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Proceedings of the National Academy of Sciences 116 (9), 3482-3487, 2019-02-11
Proceedings of the National Academy of Sciences
