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Developing a capability to elicit and structure psychosocial decision information within computational models

机译：制定能力和构建计算模型中的心理社会决策信息

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There is a recognized need to develop computational models that can represent and simulate the decision making process of various groups across socio-cultural domains [5]. Yet, developing such models can be greatly hampered by the need to acquire and represent information pertaining to the psychological and social aspects of decision-making within these groups. Currently, there are numerous techniques and tools to help facilitate the elicitation and structuring of knowledge within expert-type systems - particularly those that focus on technical processes such as mechanical troubleshooting [3]. However, few techniques and tools have been developed for models that are intended to represent and assess the decision making of groups within different societies - particularly including cultural elements within these societies. This paper seeks to help address this challenge by discussing an approach to eliciting and structuring cross-cultural psychosocial and behavioral-economic elements within a theory-based assessment model. This work was developed to address the needs of Sandia National Laboratories' Behavioral Influence Assessment modeling capability, which assesses decision-making within societies. The main component of the knowledge engineering effort is what we call the "knowledge structure." The knowledge structure acts as scaffolding for the organization of psychosocial processes underlying decision-making, as well as the actual content of that knowledge with respect to a modeled society.
机译：有一个认可的需要开发可以代表和模拟社会文化域中各组的决策过程的计算模型[5]。然而，通过获取和代表这些群体内决策的心理和社会方面有关的信息，可以极大地阻碍这种模式。目前，有许多技术和工具可以帮助促进专家型系统内的知识的诱导和结构 - 特别是那些专注于技术过程，如机械故障排除[3]。然而，对于旨在代表和评估不同社会中的群体决策的模型，已经开发了很少的技术和工具 - 特别是这些社会中的文化元素。本文旨在通过讨论在理论的评估模型中讨论引发和构建跨文化的心理社会和行为 - 经济因素的方法来帮助解决这一挑战。这项工作是为解决桑迪亚国家实验室的行为影响评估建模能力的需求，评估了社会中的决策。知识工程努力的主要成分是我们称之为“知识结构”。知识结构充当脚手架，用于组织心理社会过程的基本决策，以及该知识与建模社会的实际内容。

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