论文标题
建模人类行为第二部分 - 认知方法和不确定性
Modeling Human Behavior Part II -- Cognitive approaches and Uncertainty
论文作者
论文摘要
正如我们在该主题的第一部分中讨论的那样，人们明确渴望建模和理解人类的行为。鉴于人类推理是学习和决策的标准的普遍前提，因此在研究中复制这些先天的人类能力的研究趋势和越来越多的趋势。在第一部分中，我们讨论了学习方法，该方法从探索系统和反馈中产生了一种行为模型，并基于展览行为以及与他人的适用技能或精神状态有关的信念或对信念的使用或算作的主题。在这项工作中，我们将从重点介绍人类推理中表现出的认知能力，局限性和偏见的方法的角度继续讨论。我们将排列这些主题，如以下（i）方法，例如认知架构，认知启发式方法以及相关的相关方法，这些方法证明了对认知资源的限制的假设以及如何影响决策以及（ii）产生和利用偏见或不确定的人类决策或未来决策成果的方法。
As we discussed in Part I of this topic, there is a clear desire to model and comprehend human behavior. Given the popular presupposition of human reasoning as the standard for learning and decision-making, there have been significant efforts and a growing trend in research to replicate these innate human abilities in artificial systems. In Part I, we discussed learning methods which generate a model of behavior from exploration of the system and feedback based on the exhibited behavior as well as topics relating to the use of or accounting for beliefs with respect to applicable skills or mental states of others. In this work, we will continue the discussion from the perspective of methods which focus on the assumed cognitive abilities, limitations, and biases demonstrated in human reasoning. We will arrange these topics as follows (i) methods such as cognitive architectures, cognitive heuristics, and related which demonstrate assumptions of limitations on cognitive resources and how that impacts decisions and (ii) methods which generate and utilize representations of bias or uncertainty to model human decision-making or the future outcomes of decisions.
