see that progress had been made, and declare the job done
这是大语言模型常见的“过度乐观”陷阱。模型倾向于迎合用户的完成预期,而非客观审视实际进度。通过强制读取结构化的feature list,是用外部状态锚定来对抗模型的内在偏见。
see that progress had been made, and declare the job done
这是大语言模型常见的“过度乐观”陷阱。模型倾向于迎合用户的完成预期,而非客观审视实际进度。通过强制读取结构化的feature list,是用外部状态锚定来对抗模型的内在偏见。
A cognitiveagent is needed to perform this very action (that needs to be recurrent)—and another agent is neededto further build on that (again recurrently and irrespective to the particular agents involved).
This appears to be setting up the conditions for an artificial cognitive agent to be able to play a role (ie Artificial Intelligence)
Krueger, P., Callaway, F., Gul, S., Griffiths, T., & Lieder, F. (2022). Discovering Rational Heuristics for Risky Choice. PsyArXiv. https://doi.org/10.31234/osf.io/mg7dn