An Investigation of Regulatory Decision Making by Automated Decision Makers

在这项提案中，我们将研究是否可以利用合作和自动化决策者的环境来模拟监管小组决策。这个雄心勃勃的项目包括一个多学科、跨机构的团队，他们来自计算机科学、心理学和工业与制造科学。这四名调查人员将由克兰菲尔德的一名三年制博士生和诺丁汉的一名两年制研究助理提供支持。该项目的第一阶段将确定监管决策背景(环境规划、许可、政策制定)、个人角色和个性影响。这些因素将被纳入项目第二阶段的模拟环境中，并将在最后阶段对所产生的系统进行分析。项目第二阶段将采用第一阶段的输出并创建模拟环境。这个环境最初将使用基于代理的技术建立，但其他机器学习方法将在适当的情况下进行调查。最后阶段将涉及团队的所有成员分析结果系统并校准其参数，以便尽可能接近地模拟群体决策过程。这项提议的一个主要特点是每九个月间隔两天的研讨会，以便整个团队(调查人员、博士生、RA和项目合作伙伴)以集中的方式合作。

In this proposal we will investigate if we can simulate regulatory group decision making utilising an environment of cooperating and automated decision makers. This ambitious project comprises a multi-disciplinary, inter-institutional team drawn from Computer Science, Psychology and Industrial and Manufacturing Science. The four investigators will be supported by a three year PhD student, based at Cranfield, and a two year Nottingham based research assistant.The first phase of the project will define the regulatory decision contexts (environmental planning, permitting, policy development), individual roles and personality influences. These factors will be incorporated in the simulation environment in the second phase of the project and the resulting system will be analysed in the final phase.The second phase of the project will take the outputs from phase one and create a simulation environment. This environment will initially be built using agent based technology, but other machine learning approaches will be investigated as appropriate.The final phase will involve all members of the team in analysing the resulting system and calibrating its parameters in order to emulate group decision making processes as closely as possible.A key feature of this proposal are 2-day workshops at nine monthly intervals in order for the whole team (investigators, PhD student, RA and project partners) to work together in a focused way.