ABSTRACT Temporal motivation theory (TMT) has been criticized for its static representation and neglect of the environment. In this paper, I develop goal sampling theory (GST) to appease these criticisms and extend our understanding of goal choices beyond momentary preferences and into dynamic updating and sampling behavior across time. GST draws from temporal motivational theory, sampling models of impression formation, and organizational theory on how the environment constrains behavior and situates aspects of each into a formal model of goal sampling. Doing so addresses the limitations of our prior thinking, introduces new concepts and predictions, and provides a mathematical framework that lends itself to computational modeling.

中文翻译：

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时间动机理论的简单动态扩展

摘要 时间动机理论 (TMT) 因其静态表示和对环境的忽视而受到批评。在本文中，我开发了目标抽样理论 (GST) 来平息这些批评，并将我们对目标选择的理解从暂时的偏好扩展到跨时间的动态更新和抽样行为。GST 借鉴了时间动机理论、印象形成的抽样模型，以及关于环境如何约束行为并将每个方面置于目标抽样的正式模型中的组织理论。这样做解决了我们先前思维的局限性，引入了新概念和预测，并提供了一个适合计算建模的数学框架。