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Flexible decision control in an autonomous trading agent

机译：自主交易代理中的灵活决策控制

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Modern electronic commerce creates significant challenges for decision-makers. The trading agent competition for supply-chain management (TAC SCM) is an annual competition among fully-autonomous trading agents designed by teams around the world. Agents attempt to maximize profits in a supply-chain scenario that requires them to coordinate Procurement, Production, and Sales activities in competitive markets. An agent for TAC SCM is a complex piece of software that must operate in a competitive economic environment. We report on results of an informal survey of agent design approaches among the competitors in TAC SCM, and then we describe and evaluate the design of our MinneTAC trading agent. We focus on the use of evaluators - configurable, composable modules for data analysis, modeling, and prediction that are chained together at runtime to support agent decision-making. Through a set of examples, we show how this structure supports Sales and Procurement decisions, and how those decision process can be modified in useful ways by changing evaluator configurations.
机译：现代电子商务对决策者提出了重大挑战。供应链管理贸易代理商竞赛（TAC SCM）是由全球团队设计的全自动贸易代理商之间的年度竞赛。代理商试图在供应链方案中最大化利润，这要求他们协调竞争市场中的采购，生产和销售活动。 TAC SCM的代理是一个复杂的软件，必须在竞争激烈的经济环境中运行。我们报告了TAC SCM竞争对手之间对代理商设计方法的非正式调查结果，然后描述并评估了MinneTAC贸易代理商的设计。我们专注于评估程序的使用-用于数据分析，建模和预测的可配置，可组合的模块，这些模块在运行时链接在一起以支持代理决策。通过一组示例，我们说明了此结构如何支持销售和采购决策，以及如何通过更改评估程序配置以有用的方式修改这些决策过程。

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