causal knowledge 中文意思是什麼
causal knowledge
解釋
因果知識-
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。 -
With the development of advertising theories and psychology, people have learned more knowledge about how advertising affects consumers. basing on how advertising works, this paper analyzed the process how consumers actually " feel " and " think ", the mental effects including framing perception, organizing memory, enhancing experience and brand attitudes, then built the conceptual model of advertising mental effectiveness that reflects the causal relationship of various constructed variables and finally founded a structurally quantitative model
本文從廣告影響消費者的過程出發，分析了消費者在接觸廣告后廣告信息對于消費者心理效果的影響，這些影響主要體現在感知、回憶、提升經驗和對于廣告品牌態度的變化方面，它們之間又有相互的影響關系；初步構建了廣告影響消費者的心理效果概念模型，該模型同時反映出了各結構變量之間的因果關系；然後，在概念模型的基礎上嘗試建立了測量廣告心理效果的結構數量模型。 -
Bottom - up processing and feature detecting theory based on strong electrophysiological evidences has played a dominant role in the visual research for long time. people know top - down processing just by common sense. knowledge or experience are recalled from memory by reactivation of their neural representations and affected visual processes. however recently, researches from human and monkey provide experimental evidences for top - down processing. first, mnemonic representation of visual objects and faces, located in the ventral processing stream of visual perception in monkey, provide the best evidences of how neuronal codes are created by neurons that have the special ability to link the representations of temporally associated stimuli ; second, experiments suggest that not only bottom - up signals from the retina but also top - down signals from the prefrontal cortex can trigger the retrieval of associative codes, which may serve as a neural basis both for the conscious recall and for the visual processes affected by top - down processing further studies will improve people s understanding of the causal relation of activation and behavior by use of combined fmri and electrophysiology or lesion studies
聯想性編碼是通過學習由一些具有特殊功能的神經元建立的，這些神經元具有將時間性關聯刺激的表徵聯系起來的能力。其次，不僅來自視網膜的底-頂信號，而且來自前額葉的頂底信號都能觸發聯想性編碼的提取，既可以作為有意識回憶的神經基礎，又是頂-底加工影響視覺過程的基礎。腦損傷病人研究具有高時間解析度的人類功能性核磁共振成像functional magnetic resonance imaging ， fmri和猴fmri研究以及猴細胞電生理分析相結合，將進一步加強人們對視覺腦機制的全面理解。 -
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 -
This paper proposes a knowledge map model for representing and reasoning causal knowledge as an overlay in the knowledge grid
模糊認知圖是一種具有語義的基於計算的融合因果知識表示與推理的一種圖模型。 -
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。 -
Project name study of attack prediction capability of an integrated intrusion detection system based on attack - related knowledge with porbabilistic causal relations
計畫名稱：以機率因果關聯為基礎的攻擊知識探討整合型入侵偵測系統的攻擊預測能力 -
The systematic knowledge about decision - making for missile - launching is absence now. as we can discover the underlying abnormity in the training process. acquiring causal knowledge of abnormity is essential to missile - launching reliably
由於導彈潛在的異常往往會在訓練使用過程中將得到充分的暴露，由此去發現挖掘相關的因果關聯知識對于導彈武器的可靠安全發射具有重要意義。 -
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。 -
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。 -
This study proposed a moderating model consisting of four constructs : a causal relationship between country of origin and product judgments with consumers ' openness and product knowledge served as moderators
摘要:本研究提出一個四構面的調節因子模型：在產地國與產品判斷間的因果關系中，由消費者開放程度與產品知識做為兩個調節因子。
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