用于配方生成的FOON创建和训练
FOON Creation and Traversal for Recipe Generation
摘要：
机器人的任务竞争仍然是完全可靠和可用的。机器人可以破译信息并完成任务的一种方法是利用FOON，它代表功能面向对象网络。网络首先需要通过让人类在.txt文件中创建动作节点以及输入和输出节点来创建。在网络是相当大的之后，该网络的利用允许以各种方式遍历网络，诸如通过使用第一个看到的有效选项经由迭代深化搜索来选择步骤。另一种机制是自动化，例如根据最高成功率或最低输入成分量选择步骤。通过这些方法中的任何一种，程序都可以遍历给定输出产品的网络，并导出产生输出所需的一系列步骤。
英文摘要：
Task competition by robots is still off from being completely dependable and usable. One way a robot may decipher information given to it and accomplish tasks is by utilizing FOON, which stands for functional object-oriented network. The network first needs to be created by having a human creates action nodes as well as input and output nodes in a .txt file. After the network is sizeable, utilization of this network allows for traversal of the network in a variety of ways such as choosing steps via iterative deepening searching by using the first seen valid option. Another mechanism is heuristics, such as choosing steps based on the highest success rate or lowest amount of input ingredients. Via any of these methods, a program can traverse the network given an output product, and derive the series of steps that need to be taken to produce the output.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
