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Regulators as agents: Modelling personality and power as evidence is brokered to support decisions on environmental risk

机译:监管机构作为代理人:以人格和权力为依据进行建模,以作为证据支持对环境风险的决策

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摘要

Complex regulatory decisions about risk rely on the brokering of evidence between providers and recipients, and involve personality and power relationships that influence the confidence that recipients may place in the sufficiency of evidence and, therefore, the decision outcome. We explore these relationships in an agent-based model; drawing on concepts from environmental risk science, decision psychology and computer simulation. A two-agent model that accounts for the sufficiency of evidence is applied to decisions about salt intake, animal carcass disposal and radioactive waste. A dynamic version of the model assigned personality traits to agents, to explore their receptivity to evidence. Agents with 'aggressor' personality sets were most able to imbue fellow agents with enhanced receptivity (with 'avoider' personality sets less so) and clear confidence in the sufficiency of evidence. In a dynamic version of the model, when both recipient and provider were assigned the 'aggressor' personality set, this resulted in 10 successful evidence submissions in 71 days, compared with 96 days when both agents were assigned the 'avoider' personality set. These insights suggest implications for improving the efficiency and quality of regulatory decision making by understanding the role of personality and power.
机译:关于风险的复杂监管决策依赖于提供者和接受者之间的证据中介,并且涉及人格和权力关系,这些关系会影响接受者对证据充分性的信心,从而影响决策结果。我们在基于代理的模型中探索这些关系;利用环境风险科学,决策心理学和计算机仿真的概念。考虑到证据充分性的两主体模型适用于食盐摄入,动物尸体处置和放射性废物的决策。该模型的动态版本为代理商分配了人格特质,以探索其对证据的接受能力。具有“侵略者”性格设置的特工最有能力使同伴具有更高的接受能力(“回避”性格设置则更少),并且对证据充分有明显的信心。在该模型的动态版本中,当为接受者和提供者都分配了“侵略者”个性集时,这导致在71天内成功提交了10份证据,而为两个代理人分配了“逃避者”个性集则为96天。这些见解提出了通过了解人格和权力的作用来提高监管决策效率和质量的暗示。

著录项

  • 来源
    《Science of the total environment》 |2014年第1期|74-83|共10页
  • 作者单位

    Cranfield University, Centre for Environmental Risks and Futures, School of Applied Sciences, Cranfield MK43 0AL, UK;

    University of Nottingham, School of Computer Science, Nottingham NG8 1BB, UK,University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia;

    London School of Economics and Political Science, Department of Management, London WC2A 2AE, UK;

    University of Nottingham, School of Computer Science, Nottingham NG8 1BB, UK;

    Cranfield University, Centre for Environmental Risks and Futures, School of Applied Sciences, Cranfield MK43 0AL, UK;

    Cranfield University, Centre for Environmental Risks and Futures, School of Applied Sciences, Cranfield MK43 0AL, UK;

    Cranfield University, Centre for Environmental Risks and Futures, School of Applied Sciences, Cranfield MK43 0AL, UK;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Risk; Agents; Regulation; Power; Personality; Model;

    机译:风险;代理商;规;功率;个性;模型;

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