DRIVING STOCHASTIC AGENTS TO ENGAGE IN TARGETED ACTIONS WITH TIME-SERIES MACHINE LEARNING MODELS UPDATED WITH ACTIVE LEARNING

    公开(公告)号:US20220121941A1

    公开(公告)日:2022-04-21

    申请号:US17505235

    申请日:2021-10-19

    申请人: William Goldberg

    发明人: William Goldberg

    IPC分类号: G06N3/08 G06N3/04

    摘要: Provided are processes that include: obtaining, with a computer system, a time-series machine learning model trained to influence the actions of an agent; selecting, with the computer system, with the time-series machine learning model, stimuli to drive the agent to engage in a targeted activity; causing, with the computer system, the stimuli to be presented to the agent; obtaining, with the computer system, feedback indicative of whether the agent engaged in the targeted activity; adjusting, with the computer system, parameters of the time-series machine learning based on the feedback; and storing, with the computer system, the adjusted parameters in memory.

    Market expansion through optimized resource placement
    9.
    发明申请
    Market expansion through optimized resource placement 失效
    通过优化资源放置来拓展市场

    公开(公告)号:US20050222883A1

    公开(公告)日:2005-10-06

    申请号:US10814541

    申请日:2004-03-31

    摘要: A company's ability to expand its market presence by delivering value to emerging and immature markets is influenced by its ability to develop a rich and differentiated value net within these emerging markets. Techniques are disclosed for making resource placement decisions in an objective manner, using results from a value chain analysis. Geographies or locations that are candidates for the resource placement are analyzed in terms of a set of criteria which, in preferred embodiments, are directed toward identifying strengths and weaknesses of each location as part of an overall value chain.

    摘要翻译: 公司通过向新兴市场和不成熟市场提供价值来扩大其市场份额的能力受到其在这些新兴市场中开发丰富和差异化的价值网络的能力的影响。 公开了以客观方式进行资源安置决策的技术,使用价值链分析的结果。 根据一组标准来分析作为资源放置候选者的地理位置或位置,在一些优选实施例中,这些标准旨在将每个位置的优点和弱点识别为整体价值链的一部分。