抽象推理的英文
abstract reasoning
例句与用法
- J . capability for abstract reasoning
抽象推理的能力 - Capability for abstract reasoning
抽象推理的能力 - The major contributions of predictions came from spelling , numerical reasoning , verbal reasoning , language usage , clerical speed and accuracy
至于空间关系、机械推理、抽象推理则不但贡献小，且结果不稳定。 - It also sits uncomfortably with the separate , but parallel , argument that correct moral choices are the result of a sort of biological decision - making programme , shaped by evolution , rather than being arrived at by abstract reasoning
它也存在单独的不适,但与此同时,论点正确的道德选择,是一种生物的决策方案,形成演化的结果、而不是由抽象推理所得 - 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
具体地说，此项研究在以下几个方面做了工作：它对因果关系存在的实体给出了一个合适的框架；它建立了一个基于事件的因果关系的理论框架，在这个框架下因果关系的结构与因素能够被合理描述；它提供了一个得到本体论与因果理论支持的基于事件的因果关系的一般表达方式，使因果关系能够被形式化为在实际推理(例如预测推理)中应用的因果规则，并使因果关系的非单调性以及其它的一般性质得到体现；它构造了基于事件的因果关系的抽象推理模型，特别是因果预测、因果解释和因果诊断；最后它把因果推理模型推广应用到具体的领域以建立实际的ai系统，例如在故事理解和法律推理中的应用。
