首页> 外文期刊>Artificial Intelligence for Engineering Design, Analysis & Manufacturing >Asking the right question: Risk and expectation in multiagent contracting
【24h】

Asking the right question: Risk and expectation in multiagent contracting

机译:提出正确的问题:多主体签约中的风险和期望

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

In this paper we are interested in the decision problem faced by an agent when requesting bids for collections of tasks with complex time constraints and interdependencies. In particular, we study the problem of specifying an appropriate schedule for the tasks in the request for bids. We expect bids to require resource commitments, so we expect different settings of time windows to solicit different bids and different costs. The agent is interested in soliciting "desirable" bids, where desirable means bids that can be feasibly combined in a low-cost combination that covers the entire collection of tasks. Since the request for bids has to be issued before the agent can see any bids, in this decision process there is a probability of loss as well as a probability of gain. This requires the decision process to deal with the risk posture of the person or organization on whose behalf the agent is acting. We describe a model based on Expected Utility Theory and show how an agent can attempt to maximize its profits while managing its financial risk exposure. We illustrate the operation and properties of the model and discuss what assumptions are required for its successful integration in multiagent contracting applications.
机译:在本文中,我们对代理人在投标具有复杂时间约束和相互依赖性的任务的集合时所面临的决策问题感兴趣。特别是,我们研究为投标请求中的任务指定适当的时间表的问题。我们期望出价需要资源承诺,因此我们期望时间窗口的不同设置可以吸引不同的出价和不同的成本。代理商有兴趣提出“理想的”投标,其中“理想的”是指可以以可低成本组合的方式切实可行地组合投标,从而覆盖整个任务集合。由于必须在代理商看到任何投标之前发出投标请求,因此在此决策过程中,既有损失的可能性,也有获得收益的可能性。这需要决策过程来处理代理所代表的个人或组织的风险状况。我们描述了基于期望效用理论的模型,并展示了代理商如何在管理其财务风险的同时尝试最大化其利润。我们将说明该模型的操作和属性,并讨论在多主体合同应用程序中成功集成该模型需要哪些假设。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号