Agent-Based Model of Risk Assessment: A Distributed Cognition Approach

  • Clemens HartenEmail author
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)


To better understand where and why errors happen in risk assessment, we propose a model of the risk assessment process as a distributed cognitive task for a group of agents. This model provides the foundation for an agent-based simulation that allows a systematic investigation of the risk assessment process in a controlled setting. Building on a perspective of sensemaking and cognition on risk analysis, we present a new approach to assess a whole class of group decision-making problems by building generalized constraint satisfaction networks as a starting point for a randomized agent-based simulation.


Constraint satisfaction networks Agent-Based modeling Group decision making 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Hamburg University of TechnologyHamburgGermany

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