In previous researches on a model-based diagnostic system, the components are assumed mutually independent. Howerver , the assumption is not always the case because the information about whether a component is faulty ...In previous researches on a model-based diagnostic system, the components are assumed mutually independent. Howerver , the assumption is not always the case because the information about whether a component is faulty or not usually influences our knowledge about other components. Some experts may draw such a conclusion that 'if component m 1 is faulty, then component m 2 may be faulty too'. How can we use this experts' knowledge to aid the diagnosis? Based on Kohlas's probabilistic assumption-based reasoning method, we use Bayes networks to solve this problem. We calculate the posterior fault probability of the components in the observation state. The result is reasonable and reflects the effectiveness of the experts' knowledge.展开更多
In this paper, the structure characteristics of open complex giant systems are concretely analysed in depth, thus the view and its significance to support the meta synthesis engineering with manifold knowledge models...In this paper, the structure characteristics of open complex giant systems are concretely analysed in depth, thus the view and its significance to support the meta synthesis engineering with manifold knowledge models are clarified. Furthermore, the knowledge based multifaceted modeling methodology for open complex giant systems is emphatically studied. The major points are as follows: (1) nonlinear mechanism and general information partition law; (2) from the symmetry and similarity to the acquisition of construction knowledge; (3) structures for hierarchical and nonhierarchical organizations; (4) the integration of manifold knowledge models; (5) the methodology of knowledge based multifaceted modeling.展开更多
This paper reports an aspiration-directed, model-based decision support system (AMDSS) integrated with a knowledge-based simulation system. The system is designed to study China's mid-range economic development st...This paper reports an aspiration-directed, model-based decision support system (AMDSS) integrated with a knowledge-based simulation system. The system is designed to study China's mid-range economic development strategy. The capacity of the system is enhanced by the knowledge-based component which provides a knowledge-based simulation environment for model management. Currently the system has passed the stage of prototype and achieves its implementation capacity. The paper first presents the mathematical aspects of decision making including aspiration-directed decision making, then discusses the architecture of the system. The purpose of the paper is to provide insights into how such an integrated system could provide decision support for complex decision analysis.展开更多
The paper presents a cognitive science framework for the analysis of knowledge-based systems,including people, media. simulation and expert systems, resulting in a practical model for the procedures ofknowledge engine...The paper presents a cognitive science framework for the analysis of knowledge-based systems,including people, media. simulation and expert systems, resulting in a practical model for the procedures ofknowledge engineering. Starting with the construct of a social organization model driven by anticipationand thed differentiating this into pesonal scientists with diverse relations to people and their internal andexternal communication, it provides powerful and general model of society. people, and the roles of peoplein society. This model extends naturally ic the role of conventional media in the knowledge processes ofsociety and the new roles of computer-based simulation and expert systems. In particular it provides amodel of knowledge transfer that enables the processes of knowledge engineering to be analyzed andautomated.展开更多
针对洪涝灾害应急管理中需实时更新防汛领域知识库的需求,该文通过LangChain框架结合外部防汛领域知识库与大语言模型,提出了基于实时知识库的洪涝应急决策智能问答模型LR-GLM(LangChain RAG Generative Language Model)。该模型集成了R...针对洪涝灾害应急管理中需实时更新防汛领域知识库的需求,该文通过LangChain框架结合外部防汛领域知识库与大语言模型,提出了基于实时知识库的洪涝应急决策智能问答模型LR-GLM(LangChain RAG Generative Language Model)。该模型集成了RAG(Retrieval-augmented Generation)技术,通过向量匹配机制并结合微调后的ChatGLM2(Chat Generative Language Model 2)模型生成回答。以湖北省随县洪涝灾害应急演练为案例,采用人工评估和自动评估,验证模型的有效性。结果表明:该模型在多轮回答及复杂决策场景下表现优异,能够快速响应并提供针对现场态势的答案,有效提升了应急智能问答的准确性和实时性,有利于应急指挥团队制定更高效切实可行的洪涝灾害应急方案。展开更多
大数据技术在地球科学中的应用已成为国家战略重点,《“十四五”大数据产业发展规划》等政策为多源异构数据整合提供了支撑。大语言模型(LLM)是一种基于深度学习技术的人工智能模型。然而,通用大语言模型(如GPT-4、Deepseek-R1)在专业...大数据技术在地球科学中的应用已成为国家战略重点,《“十四五”大数据产业发展规划》等政策为多源异构数据整合提供了支撑。大语言模型(LLM)是一种基于深度学习技术的人工智能模型。然而,通用大语言模型(如GPT-4、Deepseek-R1)在专业领域存在局限性,因训练语料缺乏地球科学细分知识,导致回答笼统或错误(即“幻觉”)(Singhal et al.,2025),Zhou Zhi等(2024)在医疗领域通过Med-PaLM2构建垂直知识库,He Yong等(2024)法律领域基于LawGPT实现法规精准检索。在地球科学领域尚未形成系统的本地化知识问答方案。展开更多
文摘In previous researches on a model-based diagnostic system, the components are assumed mutually independent. Howerver , the assumption is not always the case because the information about whether a component is faulty or not usually influences our knowledge about other components. Some experts may draw such a conclusion that 'if component m 1 is faulty, then component m 2 may be faulty too'. How can we use this experts' knowledge to aid the diagnosis? Based on Kohlas's probabilistic assumption-based reasoning method, we use Bayes networks to solve this problem. We calculate the posterior fault probability of the components in the observation state. The result is reasonable and reflects the effectiveness of the experts' knowledge.
文摘In this paper, the structure characteristics of open complex giant systems are concretely analysed in depth, thus the view and its significance to support the meta synthesis engineering with manifold knowledge models are clarified. Furthermore, the knowledge based multifaceted modeling methodology for open complex giant systems is emphatically studied. The major points are as follows: (1) nonlinear mechanism and general information partition law; (2) from the symmetry and similarity to the acquisition of construction knowledge; (3) structures for hierarchical and nonhierarchical organizations; (4) the integration of manifold knowledge models; (5) the methodology of knowledge based multifaceted modeling.
文摘This paper reports an aspiration-directed, model-based decision support system (AMDSS) integrated with a knowledge-based simulation system. The system is designed to study China's mid-range economic development strategy. The capacity of the system is enhanced by the knowledge-based component which provides a knowledge-based simulation environment for model management. Currently the system has passed the stage of prototype and achieves its implementation capacity. The paper first presents the mathematical aspects of decision making including aspiration-directed decision making, then discusses the architecture of the system. The purpose of the paper is to provide insights into how such an integrated system could provide decision support for complex decision analysis.
文摘The paper presents a cognitive science framework for the analysis of knowledge-based systems,including people, media. simulation and expert systems, resulting in a practical model for the procedures ofknowledge engineering. Starting with the construct of a social organization model driven by anticipationand thed differentiating this into pesonal scientists with diverse relations to people and their internal andexternal communication, it provides powerful and general model of society. people, and the roles of peoplein society. This model extends naturally ic the role of conventional media in the knowledge processes ofsociety and the new roles of computer-based simulation and expert systems. In particular it provides amodel of knowledge transfer that enables the processes of knowledge engineering to be analyzed andautomated.
文摘针对洪涝灾害应急管理中需实时更新防汛领域知识库的需求,该文通过LangChain框架结合外部防汛领域知识库与大语言模型,提出了基于实时知识库的洪涝应急决策智能问答模型LR-GLM(LangChain RAG Generative Language Model)。该模型集成了RAG(Retrieval-augmented Generation)技术,通过向量匹配机制并结合微调后的ChatGLM2(Chat Generative Language Model 2)模型生成回答。以湖北省随县洪涝灾害应急演练为案例,采用人工评估和自动评估,验证模型的有效性。结果表明:该模型在多轮回答及复杂决策场景下表现优异,能够快速响应并提供针对现场态势的答案,有效提升了应急智能问答的准确性和实时性,有利于应急指挥团队制定更高效切实可行的洪涝灾害应急方案。
文摘大数据技术在地球科学中的应用已成为国家战略重点,《“十四五”大数据产业发展规划》等政策为多源异构数据整合提供了支撑。大语言模型(LLM)是一种基于深度学习技术的人工智能模型。然而,通用大语言模型(如GPT-4、Deepseek-R1)在专业领域存在局限性,因训练语料缺乏地球科学细分知识,导致回答笼统或错误(即“幻觉”)(Singhal et al.,2025),Zhou Zhi等(2024)在医疗领域通过Med-PaLM2构建垂直知识库,He Yong等(2024)法律领域基于LawGPT实现法规精准检索。在地球科学领域尚未形成系统的本地化知识问答方案。
