causal models 中文意思是什麼
causal models
解釋
因果模型-
Edm has some remarkable advantages over traditional models, includes using implicit causal models, self - learning capacity, weak dependence on domain knowledge, wide applicability, robustness, self - adaptability, and population - based searching, etc. tracing back its intrinsical ideas, edm is just making use of the nature ' s decision making strategy, natural selection, to solve the decision making problems faced by human or the intelligent agents
進化決策主要利用了進化演算法與形式化計算模型相結合所具備的自動建模能力，它具有隱式因果模型、自學習、弱知識依賴、應用廣泛、穩健性、自適應和群體搜索等優勢。追根溯源，進化決策的基本思想正是利用大自然的決策機制（自然選擇）來解決客觀世界所提出的決策問題，而自然進化又是已知的能力最強的問題求解范型。 -
Glymour, c. ( 2001 ). the mind ' s arrows : bayes nets and graphical causal models in psychology. mit press
《思維的箭：心理學中的貝氏網路和圖形因果模型》麻省理工大學出版社 -
Causal knowledge representation and nonmonotonic reasoning models in law consultant systems
法律知識的因果表達和非單調推理模型 -
More specifically, the research provides an appropriate framework of entities among which causal relations are to hold ; it also develops a theoretical framework of event causation, under which the structures and elements of causal relations holding among these ontological entities can be described ; it gives a general representation tool for event causation supported by the ontological and theoretical frameworks, under which causal relations can be formalized as causal rules for practical reasoning, e. g., predictive reasoning, in which nonmonotonicity, as well as the other general properties and the nature of elements involved, can be captured ; it constructs computational frameworks for abstract causal reasoning models, such as causal prediction, causal explanation, and causal diagnosis ; and it finally extends and utilizes these abstract reasoning models to formalize causal knowledge in specific domains to develop practical causal reasoning systems for ai research, e. g., story understanding and legal reasoning. the research i s original from several aspects as follows : ( 1 ) the analysis of the internal structure of events provides a fundamental ontology for causal relations
具體地說，此項研究在以下幾個方面做了工作：它對因果關系存在的實體給出了一個合適的框架；它建立了一個基於事件的因果關系的理論框架，在這個框架下因果關系的結構與因素能夠被合理描述；它提供了一個得到本體論與因果理論支持的基於事件的因果關系的一般表達方式，使因果關系能夠被形式化為在實際推理（例如預測推理）中應用的因果規則，並使因果關系的非單調性以及其它的一般性質得到體現；它構造了基於事件的因果關系的抽象推理模型，特別是因果預測、因果解釋和因果診斷；最後它把因果推理模型推廣應用到具體的領域以建立實際的ai系統，例如在故事理解和法律推理中的應用。 -
In this article, taipei ' s problem of declined air quality is demonstrated, which shows the long - term air purification effect and the holistic value of green coverage ratio by applying causal feedback loops, dynamic simulation models, and scenarios analysis under system dynamics ( sd ) approach
本研究以臺?市為案? ， ?用系統動態學方法?的因果回饋環? ，探討臺?市空氣質量下?之問題核心與找出關鍵變? ，並藉由空氣凈化之系統動態模式和情境模擬分析， ?明執? ?覆?政策對于未?減緩臺?市空氣污染氣體?的具體效果和宏觀價值。 -
Based on predecessors " studies on steam turbine generator - set ' s state monitoring and fault diagnose, this paper focuses on the models and methods used to judge the multiple faults. these models and models, which are based on fuzzy sets theory, probability causal model, artificial neural network technology and genetic algorithms, are tested by some existing examples and some useful conclusions are drawn. all above will put the theory of multiple fault diagnosis of a large turbine generator set a further step
本文在總結和借鑒前人關于汽輪發電機組狀態監測和故障診斷的基礎上，重點研究基於模糊集理論、概率因果模型、人工神經網路技術以及遺傳演算法的多故障診斷理論和方法，並用已有的汽輪發電機組振動故障事例進行了驗證，得出了一些具有實用價值的結論，進一步豐富和推進了大型汽輪發電機組振動多故障診斷的理論，並提出了一些可靠的、實用的新方法。 -
A analytical theory is established by putting causal elements into partial states and actions, which deepens our understanding of event causation at the level of partial states and actions. ( 3 ) a causal rule representation is mapped into default logic formalism, based on the examination of general properties of causation. the default rule representation provides a concise syntactic and semantic formalism for potential causal relations to be used in causal reasoning models such as predicting, explaining and diagnosing
（ 2 ）通過對因果關系的可能類型的全面分析，給出了因果關系的結構與組成元素，特別是區分了潛在的因果關系內的原因、結果和因果場中的激活條件，並且把它們同半狀態與動作對應起來，建立了關于因果關系的分析理論。 -
For the extend model of cognitive map, conditional probability, theory of uncertainty and knowledge database are introduced to cognitive map, and fuzzy cognitive map ( fcm ), probabilistic fuzzy cognitive map ( pfcm ), belief knowledge database based probabilistic fuzzy cognitive map ( bkpfcm ), " extended dynamic cognitive network " are presented. therefore, those extended models can express the fuzzy and belief measure of uncertainty causal relationships and expert knowledge with uncertainty
本文把條件概率、不確定性理論及知識庫引入認知圖中，提出「概率模糊認知圖」 、 「基於信任知識庫的概率模糊認知圖」及「擴展動態認知網路」來表示事物間因果關系測度的不確定性、因果聯系的時空特性及專家對知識的不確定性，從而擴展了認知圖模擬現實世界的能力。
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