Bounded Rationality and the Role of History in Decision Under Uncertainty

这项研究提出了一种新的决策模式， 多时期框架中的不确定性， (an个人或组织）被认为是有约束力的 理性 该模型在两个关键方面与现有模型不同 假设：（1）假设该过程具有无穷大 历史，即，在一个“稳定的状态”，（2）有界的 合理性概念是由一个新的计算模型-一个 带内存的图灵机。 研究目的是： 正式定义一个有记忆的图灵机;研究各种 有记忆的机器模型，比较它们的计算能力， 能力，并分析其复杂性， 记忆和回忆的长度;为了研究相互作用的影响， 假设涉及一个以上的决策者，以及; 概括模型，以便考虑外观和 决策者（或代理人）的消失 合作和竞争模式。

This research suggests a new model of decision under uncertainty in a multi-period framework where the decision maker (an individual or an organization) is assumed to be boundedly rational. The model differs from existing ones in two key assumptions: (1) the process is assumed to have an infinite history, i.e., to be in a "steady state," and (2Õ) the bounded rationality notion is modeled by a new computational model--a Turing machine with memory. The research objectives are: to define formally a Turing machine with memory; to study the various models of machines with memory, compare their computational ability and analyze the trade-offs among their complexity, size of memory and length of recall; to study the effects of interaction, assuming more than one decision maker is involved, and; to generalize the model in order to allow for the appearance and disappearance of decision makers (or agents) in the context of cooperative and competitive models.