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    • 1. 发明授权
    • Distributed dialoguing with an agent-oriented software architecture
    • 分布式对话与面向代理的软件架构
    • US07558819B1
    • 2009-07-07
    • US10361724
    • 2003-02-10
    • Siamak HodjatMasahiko FunakiMitsuru ShiratoriJunichi Ito
    • Siamak HodjatMasahiko FunakiMitsuru ShiratoriJunichi Ito
    • G06F15/16G06F3/00
    • G06F17/30
    • Roughly described, a natural language interpretation system develops its interpretation in response to user input, and also in dependence upon the interpretation, rather than the claims, made in response to prior input. In policy conditions, an agent can check whether any specified agent contributed to the prior interpretation and adjust its claiming of the present input accordingly. In policy actions, a policy or agent can reference the prior interpretation both for conditioning the policy's or agent's contribution to the current interpretation, and also for incorporating part or all of the prior interpretation in the policy's or agent's contribution to the current interpretation. The resulting system thus implements dialoging in a distributed manner as part of the various agents in the interpretation network, and allows much more flexibility to better respond in accordance with users' expectations.
    • 粗略地描述,自然语言解释系统响应于用户输入而发展其解释,并且还依赖于响应于先前输入而做出的解释而不是权利要求。 在政策条件下,代理人可以检查任何指定的代理人是否有助于先前的解释,并相应地调整其对当前输入的声明。 在政策行动中,政策或代理人可以参考先前的解释,以便调节政策或代理人对当前解释的贡献,以及将部分或全部先前解释纳入政策或代理人对当前解释的贡献。 所得到的系统因此以分布式方式实现对话,作为解释网络中的各种代理的一部分,并且允许更多的灵活性以根据用户的期望更好地响应。
    • 4. 发明授权
    • Situational decision engine and method for contextual user experience
    • 情境决策引擎和上下文用户体验方法
    • US08175990B1
    • 2012-05-08
    • US11969813
    • 2008-01-04
    • Babak HodjatParmeet ChaddhaSiamak Hodjat
    • Babak HodjatParmeet ChaddhaSiamak Hodjat
    • G06F17/00G06N5/00
    • G06N5/04
    • A situational decision engine (SDE) operates within a mobile device or server to present a user with display content specifically optimized to the user's present situation. By acquiring characteristics about the user's present situation, the SDE is capable of analyzing the general state of the user and make decisions about presenting information with situational relevance. With the SDE, promoters and marketing firms may target user incentives and present the incentives based on a correlation of incentive features and the users context. After acquiring key characteristics of a user's context, the SDE analyzes and determines an optimal correlation to available incentives. By optimizing the matching of a promotion, an ad, or a survey to the user's situation, maximum benefit to both user and the promoter may be realized. By analyzing a user's context and presenting display content accordingly, the SDE is able to optimize the user's experience.
    • 情境决策引擎(SDE)在移动设备或服务器内操作,向用户呈现针对用户现状特别优化的显示内容。 通过获取关于用户现状的特征,SDE能够分析用户的一般状态并做出关于呈现具有情境相关性的信息的决策。 通过SDE,发起人和营销公司可以针对用户激励,并根据激励特征与用户背景的相关性来呈现奖励。 在获取用户背景的主要特征之后,SDE分析并确定与可用激励相关的最佳相关性。 通过优化针对用户情况的促销,广告或调查的匹配,可以实现对用户和促销者的最大益处。 通过分析用户的上下文并相应地呈现显示内容,SDE能够优化用户的体验。