scholarly journals When people are defeated by artificial intelligence in a competition task requiring logical thinking, how do they make causal attribution?

Author(s):  
Ryosuke Yokoi ◽  
Kazuya Nakayachi
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xia Sun

This paper considers the issue of human subjectivity in the system of “5G + AI+Education” from the perspective of, on the one hand, the real need for the problems that gradually emerge in the new round of development and application of artificial intelligence, and a philosophical reflection on the application of artificial intelligence in specific fields, on the other hand. It is also a further examination of the issue of human subjectivity in the new context. On the other hand, it is also a further examination of the issue of human subjectivity in the new context of the times, which can also provide students with an immersive learning environment, and AI artificial intelligence and hologram technology can enhance students’ motivation. This paper shows the specific steps and implementation measures of “5G” technology into online oral teaching and provides a case study design to explore the new online oral teaching model, summarizing the advantages and proposing solutions to the shortcomings. The system visualizes each step of gesture recognition to facilitate students’ understanding. Students can experience the process of gesture recognition according to the guidance of the interactive interface, and then, the complex and abstract gesture recognition process is explained with a figurative example, which is conducive to primary and secondary school students’ deeper understanding and improved logical thinking. This will help primary and secondary school students to have a deeper understanding and improve their logical thinking skills. Finally, a comparison experiment is designed to verify the effectiveness of using this system to learn AI knowledge compared with traditional learning methods. The experimental results are analyzed to prove that using this system to learn AI knowledge is effective and helps improve users’ interest in learning and hands-on ability.


Author(s):  
David L. Poole ◽  
Alan K. Mackworth

2003 ◽  
Vol 62 (4) ◽  
pp. 209-218
Author(s):  
A. N’gbala ◽  
N. R. Branscombe

When do causal attribution and counterfactual thinking facilitate one another, and when do the two responses overlap? Undergraduates (N = 78) both explained and undid, in each of two orders, events that were described either with their potential causes or not. The time to perform either response was recorded. Overall, mutation response times were shorter when performed after an attribution was made than before, while attribution response times did not vary as a consequence of sequence. Depending on whether the causes of the target events were described in the scenario or not, respondents undid the actor and assigned causality to another antecedent, or pointed to the actor for both responses. These findings suggest that counterfactual mutation is most likely to be facilitated by attribution, and that mutation and attribution responses are most likely to overlap when no information about potential causes of the event is provided.


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