A new method in making judgment matrix is proposed based on a basic value of “importance” and a relative measure level of “importance”. Factors affecting petroleum exploration are analyzed and Experts’ judgment m...A new method in making judgment matrix is proposed based on a basic value of “importance” and a relative measure level of “importance”. Factors affecting petroleum exploration are analyzed and Experts’ judgment matrix on a geologic formation is given. Expected value of each factor is computed and the volume of recoverable oil is estimated.展开更多
Objective:To study the influence of cognition and emotion on moral judgment of college students under the circumstance of whether the cognitive resources are occupied and whether the emotion is induced.Methods:This ex...Objective:To study the influence of cognition and emotion on moral judgment of college students under the circumstance of whether the cognitive resources are occupied and whether the emotion is induced.Methods:This experiment uses a multi-factor mixed experiment method to divide experiments and groups.Experiment 1 uses a two-factor mixed experimental design of 2(cognitive resource occupancy group,cognitive resource non-occupied group)×3(difficult situation type).Experiment 2 uses a two-factor mixed experimental design of 2(emotion induction group,emotion induction and cognitive resource occupation group)×3(three types of dilemma situation types)is adopted.The dependent variable of this experiment(including Experiment 1 and Experiment 2)is the judgment response time and the judgment result is“Yes”(F)or“No”(J).Results:(1)The reaction time of the cognitive resource occupancy group was significantly higher than that of the cognitive resource non-occupied group,and the cognitive resource occupancy group in the three types of dilemma situations of high personal involvement,low personal involvement,and non-personal participation.There is no significant difference between the results of moral judgments and the cognitive resource non-occupied group.(2)In the three dilemmas of high personal involvement,low personal involvement,and non-personal participation,the emotion-induced group and the emotion-induced and cognitive resource occupation group have no significant differences in reaction time and moral judgment results.(3)In the three dilemmas of high personal involvement,low personal involvement,and non-personal participation,the reaction time difference between the cognitive resource occupation group and the emotionally induced and cognitive resource occupation is not significant,while in the dilemma of low personal involvement,the number of people in the cognitive resource occupation group whose moral judgment is“Yes”was significantly higher than that in the emotionally induced and cognitive resource occupation group.(4)In the three dilemmas of high personal involvement,low personal involvement,and non-personal participation,the reaction time of the emotionally induced group was significantly higher than that of the cognitive resource non-occupied group,and the moral judgment results of the two groups were both found no significant difference.Conclusion:When the occupation of cognitive resources and the induction of emotions will significantly affect the response of individual moral judgments,different types of dilemmas will significantly affect the results of individual moral judgments.展开更多
随着人工智能技术的发展和海量司法数据的公开,面向“智慧司法”服务的司法判决预测(legal judgment prediction,LJP)任务受到了学术界和工业界的广泛关注,该任务旨在根据有限的案件事实描述文本来预测案件的罪名、法条和刑期。然而,现...随着人工智能技术的发展和海量司法数据的公开,面向“智慧司法”服务的司法判决预测(legal judgment prediction,LJP)任务受到了学术界和工业界的广泛关注,该任务旨在根据有限的案件事实描述文本来预测案件的罪名、法条和刑期。然而,现有工作缺乏对易混淆司法案件的智能决策的研究,且相关模型通常缺乏可解释性,这会导致模型预测严重依赖领域专家,阻碍LJP在不同法律体系中的应用。为此,提出了一种基于因果图分析的司法判决预测(prediction of legal judgment based on causal graph analysis,CGLJ)方法,首先从非结构化的法律事实描述文本中挖掘要素之间的因果关系,然后采用易混淆罪名聚类的构图方法构建因果图,既考虑了相似事实描述之间的差异,又增强了事实描述和法律法规之间的相互作用,最后将构建好的因果图融入深度神经网络进行联合推理,得到判决预测结果。此外,还对模型预测过程中的因果图推理过程进行了可视化,为判决结果提供了更好的可解释性。在2018中国“法研杯”司法人工智能挑战赛(CAIL2018)司法判决预测数据集上的实验结果表明,该方法相比基线模型取得了更好的效果。展开更多
文摘A new method in making judgment matrix is proposed based on a basic value of “importance” and a relative measure level of “importance”. Factors affecting petroleum exploration are analyzed and Experts’ judgment matrix on a geologic formation is given. Expected value of each factor is computed and the volume of recoverable oil is estimated.
基金This work was supported by Natural Science Foundation of Hainan Province:Research on the Cognitive and Emotional Processing Mechanism of Moral Judgment(Project No.719MS056).
文摘Objective:To study the influence of cognition and emotion on moral judgment of college students under the circumstance of whether the cognitive resources are occupied and whether the emotion is induced.Methods:This experiment uses a multi-factor mixed experiment method to divide experiments and groups.Experiment 1 uses a two-factor mixed experimental design of 2(cognitive resource occupancy group,cognitive resource non-occupied group)×3(difficult situation type).Experiment 2 uses a two-factor mixed experimental design of 2(emotion induction group,emotion induction and cognitive resource occupation group)×3(three types of dilemma situation types)is adopted.The dependent variable of this experiment(including Experiment 1 and Experiment 2)is the judgment response time and the judgment result is“Yes”(F)or“No”(J).Results:(1)The reaction time of the cognitive resource occupancy group was significantly higher than that of the cognitive resource non-occupied group,and the cognitive resource occupancy group in the three types of dilemma situations of high personal involvement,low personal involvement,and non-personal participation.There is no significant difference between the results of moral judgments and the cognitive resource non-occupied group.(2)In the three dilemmas of high personal involvement,low personal involvement,and non-personal participation,the emotion-induced group and the emotion-induced and cognitive resource occupation group have no significant differences in reaction time and moral judgment results.(3)In the three dilemmas of high personal involvement,low personal involvement,and non-personal participation,the reaction time difference between the cognitive resource occupation group and the emotionally induced and cognitive resource occupation is not significant,while in the dilemma of low personal involvement,the number of people in the cognitive resource occupation group whose moral judgment is“Yes”was significantly higher than that in the emotionally induced and cognitive resource occupation group.(4)In the three dilemmas of high personal involvement,low personal involvement,and non-personal participation,the reaction time of the emotionally induced group was significantly higher than that of the cognitive resource non-occupied group,and the moral judgment results of the two groups were both found no significant difference.Conclusion:When the occupation of cognitive resources and the induction of emotions will significantly affect the response of individual moral judgments,different types of dilemmas will significantly affect the results of individual moral judgments.
文摘随着人工智能技术的发展和海量司法数据的公开,面向“智慧司法”服务的司法判决预测(legal judgment prediction,LJP)任务受到了学术界和工业界的广泛关注,该任务旨在根据有限的案件事实描述文本来预测案件的罪名、法条和刑期。然而,现有工作缺乏对易混淆司法案件的智能决策的研究,且相关模型通常缺乏可解释性,这会导致模型预测严重依赖领域专家,阻碍LJP在不同法律体系中的应用。为此,提出了一种基于因果图分析的司法判决预测(prediction of legal judgment based on causal graph analysis,CGLJ)方法,首先从非结构化的法律事实描述文本中挖掘要素之间的因果关系,然后采用易混淆罪名聚类的构图方法构建因果图,既考虑了相似事实描述之间的差异,又增强了事实描述和法律法规之间的相互作用,最后将构建好的因果图融入深度神经网络进行联合推理,得到判决预测结果。此外,还对模型预测过程中的因果图推理过程进行了可视化,为判决结果提供了更好的可解释性。在2018中国“法研杯”司法人工智能挑战赛(CAIL2018)司法判决预测数据集上的实验结果表明,该方法相比基线模型取得了更好的效果。
