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Human organisation socio-cognitive vulnerability: the TOGA meta-theory approach to the modelling methodology

机译:人类组织的社会认知脆弱性:建模方法的TOGA元理论方法

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The paper deals with the methodological approach to the identification of the sources of socio-cognitive vulnerability. The main attention is on large complex organisations whose mission is emergency/high-risk management. The paper gives a preliminary demonstration of how a systemic, unified computational methodological approach enables the redefinition and structuring of a complex problem involving ill-defined human, organisational and cultural factors into the form of computational models. The systemic socio-cognitive paradigms and the framework of the Top-down Object-based Goal-oriented Approach (TOGA) meta-theory have been presented and applied as a meta-ontological platform, basic formalisation and goal-oriented knowledge-ordering tool. In the case of human-caused threats and organisational crises, the methodology can be applied and used for the modelling of ill-defined vulnerabilities of human networks on individual, interorganisational and intraorganisational decision levels. Among others, it rigorously applies such key concepts as information, preferences, knowledge and their recursive Information, Preferences, Knowledge (IPK) architecture. Some top modelling results related to the recent, main natural and technological disasters illustrate the application of this approach.
机译:本文探讨了识别社会认知脆弱性来源的方法学方法。主要关注于大型复杂组织,其任务是紧急/高风险管理。本文初步演示了系统的,统一的计算方法论方法如何将包含不确定性的人,组织和文化因素的复杂问题重新定义和构建为计算模型。提出了系统的社会认知范式和自上而下的基于对象的目标导向方法(TOGA)元理论的框架,并将其用作元本体论平台,基本形式化和目标导向的知识排序工具。在人为造成的威胁和组织危机的情况下,该方法可以应用并用于在个人,组织间和组织内决策水平上对人为网络的定义不明确的漏洞进行建模。除其他外,它严格地应用了关键概念,例如信息,首选项,知识及其递归信息,首选项,知识(IPK)体系结构。与最近的主要自然和技术灾难有关的一些顶级建模结果说明了该方法的应用。

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