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.
CITATION STYLE
Harten, C. (2019). Agent-Based Model of Risk Assessment: A Distributed Cognition Approach. In Springer Proceedings in Business and Economics (pp. 169–178). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-030-16045-6_7
Mendeley helps you to discover research relevant for your work.