T2K2: A Type II KASER

S. Rubin, Shu‐Ching Chen, J. Law
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Abstract

The transformational methodology described in this paper induces new knowledge, which may be open under any deductive process. The method of transposition is used to maintain a maximum size for the application as well as meta-rule bases. The "move to head" method is used by both the application and metarule bases for hypotheses formation. Whenever an application rule is fired, it is transposed on the transposition list and also moved to the head on the other list. If any meta-rule on a solution path individually leads to a contradiction on the application rule base, then the offending meta-rule is expunged. Then, when the system is idle enter dream mode, whereby rule i rArr rule j is generated by the 3-2-1 skewed twister as a candidate most-specific meta-rule. Candidate most-specific meta-rules are "cored" to create one generalization per candidate. These candidate meta-rules are tested for application to each rule in the application domain rule base. In order to be saved in the meta base, they may not map any existing rule in the application domain rule base to one having the same antecedent as another in this base, but a different consequent (as found by hashing). In addition, all candidate meta-rules must map at least one rule in the application base to another distinct one there, or be symmetrically induced from meta-rules that so map
T2K2: II型激光
本文所描述的转换方法推导出新知识,这些新知识可以在任何演绎过程中开放。换位方法用于维护应用程序和元规则库的最大大小。应用程序和元规则库都使用“移动到头部”方法来形成假设。每当应用程序规则被触发时,它就会在置换列表中被置换,并移动到另一个列表的头部。如果解决方案路径上的任何元规则单独导致应用程序规则库中的矛盾,则将删除违规的元规则。然后,当系统空闲时,进入梦想模式,其中规则i rArr规则j由3-2-1倾斜扭转器生成,作为候选最特定的元规则。候选最特定的元规则被“核心化”,以便为每个候选创建一个泛化。针对应用程序域规则库中的每个规则测试这些候选元规则。为了保存在元数据库中,它们可能不会将应用程序域规则库中的任何现有规则映射到具有与该数据库中其他规则相同的前因式,而是不同的后因式(通过散列找到)。此外,所有候选元规则必须将应用程序库中的至少一个规则映射到另一个不同的规则,或者从这样映射的元规则中对称地导出
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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