Motivation plays a central role in human behavior and cognition but is not well captured by widely used artificial intelligence (AI) and computational modeling frameworks. This Opinion article addresses two central questions regarding the nature of motivation: what are the nature and dynamics of the internal goals that drive our motivational system and how can this system be sufficiently flexible to support our ability to rapidly adapt to novel situations, tasks, etc.? In reviewing existing systems and neuroscience research and theorizing on these questions, a wealth of insights to constrain the development of computational models of motivation can be found.

中文翻译：

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揭开动机之谜

动机在人类行为和认知中发挥着核心作用，但广泛使用的人工智能 (AI) 和计算建模框架并未很好地捕捉到动机。本文讨论了关于动机本质的两个核心问题：驱动我们的动机系统的内部目标的本质和动态是什么，以及这个系统如何足够灵活以支持我们快速适应新情况、任务等的能力.? 在回顾现有系统和神经科学研究并对这些问题进行理论化时，可以发现限制动机计算模型发展的丰富见解。