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公开(公告)号：US20110313955A1
公开(公告)日：2011-12-22
申请号：US12819574
申请日：2010-06-21
CPC分类号： G06N3/006 , G06N99/005
摘要： A system, method, and computer-readable instructions for real-time characters with learning capabilities. A plurality of rules are defined in a rules-based system, each of the rules defining a condition that determines a behavior of a virtual agent when the rule is triggered by the condition being satisfied so that upon triggering of multiple rules at the same time, each of the behaviors of the multiple rules whose conditions were satisfied are combined into a resultant behavior for the virtual agent. This resultant behavior is compared with a desired behavior to providing feedback in the form of rewards or punishments to each of the multiple rules based on their corresponding contribution to the resultant behavior as compared to the desired behavior.
摘要翻译： 具有学习能力的实时字符的系统，方法和计算机可读指令。 在基于规则的系统中定义多个规则，每个规则定义了当满足条件触发规则时确定虚拟代理的行为的条件，使得在同时触发多个规则时， 条件满足的多个规则的每个行为被组合成虚拟代理的结果行为。 将所得到的行为与期望的行为进行比较，以便根据与所期望的行为相比对其对所得到的行为的相应贡献，向多个规则中的每一个提供奖励或惩罚形式的反馈。
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公开(公告)号：US08494981B2
公开(公告)日：2013-07-23
申请号：US12819574
申请日：2010-06-21
IPC分类号： G06F15/18
CPC分类号： G06N3/006 , G06N99/005
摘要： A system, method, and computer-readable instructions for real-time characters with learning capabilities. A plurality of rules are defined in a rules-based system, each of the rules defining a condition that determines a behavior of a virtual agent when the rule is triggered by the condition being satisfied so that upon triggering of multiple rules at the same time, each of the behaviors of the multiple rules whose conditions were satisfied are combined into a resultant behavior for the virtual agent. This resultant behavior is compared with a desired behavior to providing feedback in the form of rewards or punishments to each of the multiple rules based on their corresponding contribution to the resultant behavior as compared to the desired behavior.
摘要翻译： 具有学习能力的实时字符的系统，方法和计算机可读指令。 在基于规则的系统中定义多个规则，每个规则定义了当满足条件触发规则时确定虚拟代理的行为的条件，使得在同时触发多个规则时， 条件满足的多个规则的每个行为被组合成虚拟代理的结果行为。 将所得到的行为与期望的行为进行比较，以便根据与所期望的行为相比对其对所得到的行为的相应贡献，向多个规则中的每一个提供奖励或惩罚形式的反馈。
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