A normative-descriptive study of team detection with communication alternatives

Conference proceedings. IEEE International Conference on Systems, Man, and Cybernetics Pub Date : 1989-11-14 DOI:10.1109/ICSMC.1989.71385

M. Kastner, E. Entin, D. Castañón, D. Serfaty, J. Deckert

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引用次数: 3

Abstract

A model of human decision-making in distributed detection problems is developed and described. The model, called TOSCA, involves a team of two decision-makers (DMs), a primary DM and a consultant, whose goal is to solve a sequential binary hypothesis-testing problem. The model is based on the work of J.D. Papastavrou and M. Athans (1986), which modeled the primary DM and the consultant as members of a team with a common goal. TOSCA extends their work by including other features involved in distributed detection and team decision-making. TOSCA extends the model of Papastavrou and Athans by not only developing a normative mathematical formulation with these features, but also designing and running an experimental paradigm with human subjects to generate descriptive data. After analyzing how humans deviated from predicted normative behavior, the parameters in the normative model were adjusted to reflect human statistical misperception, resulting in a normative-descriptive model.<>

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具有沟通选择的团队检测的规范-描述性研究

开发并描述了分布式检测问题中人类决策的模型。这个被称为TOSCA的模型包括一个由两名决策者(DM)组成的团队，一名主要的DM和一名顾问，他们的目标是解决一个顺序的二元假设检验问题。该模型是基于J.D. Papastavrou和m.a thans(1986)的工作，他们将主要的DM和顾问建模为具有共同目标的团队成员。TOSCA通过包含分布式检测和团队决策中涉及的其他特性来扩展他们的工作。TOSCA扩展了Papastavrou和Athans的模型，不仅开发了具有这些特征的规范数学公式，而且还设计和运行了人类受试者的实验范式，以生成描述性数据。在分析了人类如何偏离预测的规范行为之后，规范模型中的参数被调整以反映人类的统计误解，从而产生规范-描述模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Conference proceedings. IEEE International Conference on Systems, Man, and Cybernetics

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