Abstract
AbstractHuman beings try to interpret and read other minds. This is the process of cognitive empathizing, which can be implicit and intuitive, or explicit and deliberate. The process also qualifies as a form of complex problem-solving, where the focal problem is another person’s mental states. Hence, cognitive empathizing by digitally augmented agents will exhibit the characteristics discussed in the preceding chapter, regarding digitalized problem-solving. It follows, therefore, that augmented agents might combine human myopia and bias, with overly farsighted, artificial sampling and search of other minds. Augmented agents will then misread other minds, often viewing them as unrealistic, irrational, or deviant. This chapter examines the origins and implications of these effects, especially for interpersonal trust and cooperation.
Publisher
Springer International Publishing
Reference77 articles.
1. Amodeo, L., Talbi, E.-G., & Yalaoui, F. (2018). Recent developments in metaheuristics. Springer.
2. Argote, L., & Guo, J. M. (2016). Routines and transactive memory systems: Creating, coordinating, retaining, and transferring knowledge in organizations. Research in Organizational Behavior, 36, 65–84.
3. Baer, T., & Kamalnath, V. (2017, November). Controlling machine-learning algorithms and their biases. McKinsey Quarterly.
4. Baker, C. L., Jara-Ettinger, J., Saxe, R., & Tenenbaum, J. B. (2017). Rational quantitative attribution of beliefs, desires and percepts in human mentalizing. Nature Human Behaviour, 1(64).
5. Bandura, A. (2002). Reflexive empathy: On predicting more than has ever been observed. Behavioral and Brain Sciences, 25(1), 24.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Empathy and Compassion as Fundamental Elements of Social Cognition;Advances in Medical Technologies and Clinical Practice;2024-03-22