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SYSTEM AND METHOD FOR COORDINATED AGENT LEARNING AND EXPLANATION USING HIERARCHICAL FACTORS

机译:使用层次因素的协调代理学习和解释的系统和方法

摘要

A system and method for selection and explanation of solutions is provided. A hierarchy of aggregation factors is maintained for evaluating at least a partial solution. Competing solutions are generated and each solution includes at least a partial solution. Scores are calculated for each of the aggregation factors for each competing solution. A total evaluation score is calculated for each competing solution based on the scores for at least one of the aggregation factors. The competing solution with the best evaluation score is selected and a gist is generated. The gist is a narrative comparing the selected solution with the non-selected solutions based on the at least one aggregation factor. The gist is provided to a user as a rationale for selection of the solution.
机译:提供了一种选择和解释解决方案的系统和方法。 维持聚集因子的层次,以评估至少部分解决方案。 产生竞争解决方案,并且每个解决方案至少包括部分溶液。 针对每个竞争解决方案的每个聚合因子计算得分。 基于至少一个聚合因子的分数计算每个竞争解决方案的总评估分数。 选择具有最佳评估分数的竞争解决方案,并生成一个GIST。 主旨是基于至少一个聚合因子与未选择的解决方案进行比较的叙述。 将GIST提供给用户作为选择解决方案的理由。

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