Abstract
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.
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Harten, C. (2019). Agent-Based Model of Risk Assessment: A Distributed Cognition Approach. In: Linsley, P., Shrives, P., Wieczorek-Kosmala, M. (eds) Multiple Perspectives in Risk and Risk Management. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-16045-6_7
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DOI: https://doi.org/10.1007/978-3-030-16045-6_7
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