多重对齐、统一和搜索信息压缩作为计算和认知的统一原则
Information Compression by Multiple Alignment, Unification and Search as a Unifying Principle in Computing and Cognition
摘要：
本文概述了“多重对齐、统一和搜索的信息压缩”（ICMAUS）的思想，它可以作为计算领域的统一原则（包括数学和逻辑）以及人类认知的一些方面，如自然语言的分析和产生，模糊模式识别和最佳匹配信息检索，具有属性继承的概念层次，概率推理，和无监督的归纳学习。ICMAUS的概念与SP61软件模型的轮廓一起描述，其中ICMAUS的概念是目前实现的。一系列的例子，说明从SP61模型的输出。
英文摘要：
This article presents an overview of the idea that "information compression by multiple alignment, unification and search" (ICMAUS) may serve as a unifying principle in computing (including mathematics and logic) and in such aspects of human cognition as the analysis and production of natural language, fuzzy pattern recognition and best-match information retrieval, concept hierarchies with inheritance of attributes, probabilistic reasoning, and unsupervised inductive learning. The ICMAUS concepts are described together with an outline of the SP61 software model in which the ICMAUS concepts are currently realised. A range of examples is presented, illustrated with output from the SP61 model.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
