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System and method for decision making in strategic environments

机译:战略环境中决策的系统和方法

摘要

In one embodiment, payoffs to an actor during the strategic game according to a solution concept is simulated a predetermined number of times. A machine learning tool is used to predict a payoff based on the predetermined number of payoffs according to the solution concept, wherein the machine learning tool is trained with plurality of pairs, each pair comprising a set of simulated payoffs and an actual payoff, wherein the simulated payoffs are predetermined number of payoffs determined in accordance with the solution concept. In another embodiment, a process tree representative of a strategic game involving actors is obtained. The process tree may comprise computational nodes, and leaf nodes which define payoff based on computations of the computational nodes. The process tree is reduced to a game tree representing the strategic game by simulating routes in the process tree.
机译:在一个实施例中,在战略游戏期间根据解决方案概念对演员的收益被模拟预定次数。机器学习工具用于根据解决方案概念基于预定数量的收益来预测收益,其中,机器学习工具由多对训练,每对包括一组模拟收益和实际收益,其中模拟收益是根据解决方案概念确定的预定收益数。在另一个实施例中,获得表示涉及参与者的战略游戏的过程树。过程树可包括计算节点和叶节点,叶节点基于计算节点的计算来定义收益。通过模拟过程树中的路径,将过程树简化为代表战略游戏的游戏树。

著录项

  • 公开/公告号US10537801B2

    专利类型

  • 公开/公告日2020-01-21

    原文格式PDF

  • 申请/专利权人 INTERNATIONAL BUSINESS MACHINES CORPORATION;

    申请/专利号US201414171786

  • 发明设计人 YEHUDA NAVEH;AMIR RONEN;

    申请日2014-02-04

  • 分类号A63F13/46;G06N5;G06N5/02;

  • 国家 US

  • 入库时间 2022-08-21 11:28:07

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