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

In: Multiple Perspectives in Risk and Risk Management

Author

Listed:
  • Clemens Harten

    (Hamburg University of Technology)

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.

Suggested Citation

  • Clemens Harten, 2019. "Agent-Based Model of Risk Assessment: A Distributed Cognition Approach," Springer Proceedings in Business and Economics, in: Philip Linsley & Philip Shrives & Monika Wieczorek-Kosmala (ed.), Multiple Perspectives in Risk and Risk Management, pages 169-178, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-16045-6_7
    DOI: 10.1007/978-3-030-16045-6_7
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