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Towards Agent-Based Scenario Development for Strategic Decision Support

Identifieur interne : 001384 ( Main/Exploration ); précédent : 001383; suivant : 001385

Towards Agent-Based Scenario Development for Strategic Decision Support

Auteurs : Maarten Mensonides [Pays-Bas] ; Bob Huisman [Pays-Bas] ; Virginia Dignum [Pays-Bas]

Source :

RBID : ISTEX:9BCC4650977BE7FEA3F4AA0000844CDDEF5706F3

Abstract

Abstract: Scenario planning is a method for learning about the future by understanding the nature and impact of the most uncertain and important driving forces affecting that future. However, most scenarios, being mostly stories, lack validation, dynamism and fail to acknowledge all relations between actors, activities and resources. In this paper, we propose an agent-based model for scenario development that tackles these problems by specifying scenarios as agent organizations which makes possible the representation of the global organization strategy, and global goals together with the objectives and requirements of different stakeholders. As a concrete example of agent-based scenario planning, the OperA model for agent organizations is used to create a model scenario for NedTrain, a rolling stock maintenance provider in the Netherlands.

Url:
DOI: 10.1007/978-3-540-77990-2_4


Affiliations:


Links toward previous steps (curation, corpus...)


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