dynamic causal knowledge 中文意思是什麼

dynamic causal knowledge 解釋
動態因果知識
  • dynamic : adj 1 動力的，動力學的；力學（上）的；動（態）的；起動的。2 有力的，有生氣的；能動的；（工作）效...
  • causal : adj. 1. （有）原因的；構成原因的；因果律的；【邏輯學】表示原因的。2. 因果關系的。n. 【語法】表示原因的詞[結構]。adv. -ly
  • knowledge : n. 1. 知識；學識，學問。2. 了解，理解；消息。3. 認識。4. 〈古語〉學科。5. 〈古語〉性關系。
  1. 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。
  2. Dynamic causality diagram was first proposed by professor zhang qin in 1994, it is a mathematics tool combined with probability and graph theory, just like the belief network, its characteristic is to provide the method of uncertain knowledge representation and agility reasoning, it adopts nodes to represent random variables in the domain and directional edges between nodes to represent causal relationship between variables, linkage intensity to represent the strength of the link between these variables, it supports the forms of reasoning from cause to effect and from effect to cause and together

    動態因果圖由張勤教授1994年提出，它與信度網類似，是概率論與圖論結合的一種數學工具，其特點是提供不確定知識的表達和靈活的推理方法:用節點表示事件或變量，有向邊表示因果關系，並用連接強度來表示因果關系的強度，支持由原因到結果的正向推理方式和由結果到原因的反向推理方式以及正反向混合推理方式。
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