Determination, Uniformity, and Relevance: Normative Criteria for Generalization and Reasoning by Analogy
Determination, Uniformity, and Relevance: Normative Criteria for Generalization and Reasoning by Analogy
复制标题
确定性、一致性和相关性：泛化和类比推理的规范标准
DOI：
10.1007/978-94-015-7811-0_11
复制
发表时间：
1988
影响因子：
--
通讯作者：
Todd R. Davies
中科院分区：
文献类型：
--
作者：
Todd R. Davies
如果一个主体要将其过去的经验知识应用到现在的事件中，它必须知道过去情况的哪些属性可以根据已知的情况之间的相似性合理地投射到现在。因此，对于学习系统的设计者来说，确定何时进行归纳或类比推理，何时不进行推理的问题就显得尤为突出。人们希望能够将一组规则形成的标准编程到系统中，这样系统就可以从接收到的数据中正确地进行归纳。否则，必须提前对代理或系统使用的所有必要规则进行编程，以便它们要么显式地表示在知识库中，要么从知识库派生出来。
If an agent is to apply knowledge from its past experience to a presen episode, it must know what properties of the past situation can justifiably be projected onto the present on the basis of the known similarity between the situations. The problem of specifying when to generalize or reason by analogy, and when not to, therefore looms large for the designer of a learning system. One would like to be able to program into the system a set of criteria for rule formation from which the system can correctly generalize from data as they are received. Otherwise, all of the necessary rules the agent or system uses must be programmed in ahead of time, so that they are either explicitly represented in the knowledge base or derivable from it.
影响因子：
2.5
作者：
GENTNER, D
通讯作者：
GENTNER, D