演化环境下的功能决策理论
Functional Decision Theory in an Evolutionary Environment
摘要：
功能决策理论是决策理论的一种新模式，是关于主体如何最大化期望效用的规范性观点。目前决策理论和计算机科学的标准是因果决策理论（CDT），在很大程度上被认为优于主要的替代证据决策理论（EDT）。这些理论规定了三种不同的效用最大化方法。我们探讨了FDT与CDT和EDT的不同之处，以及它对FDT代理和人类行为的影响。在以前的研究中已经表明FDT如何优于CDT和EDT。我们还表明FDT表现更好的经典博弈论问题，并认为其扩展到人类的问题，以表明其潜在的优势是强大的。我们还通过在进化环境中展示FDT，使其更加具体，直接与其他理论竞争。
英文摘要：
Functional decision theory (FDT) is a fairly new mode of decision theory and a normative viewpoint on how an agent should maximize expected utility. The current standard in decision theory and computer science is causal decision theory (CDT), largely seen as superior to the main alternative evidential decision theory (EDT). These theories prescribe three distinct methods for maximizing utility. We explore how FDT differs from CDT and EDT, and what implications it has on the behavior of FDT agents and humans. It has been shown in previous research how FDT can outperform CDT and EDT. We additionally show FDT performing well on more classical game theory problems and argue for its extension to human problems to show that its potential for superiority is robust. We also make FDT more concrete by displaying it in an evolutionary environment, competing directly against other theories.
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