Collaborative Intelligent Computing System--Theoretical Model with Its Application

EasyChair Preprint 15761

Abstract

This study aims to reveal the view of Collaborative Intelligence derived from computer data and human knowledge information processing, and propose the theoretical model of Collaborative Intelligent Computing System with its applications. Two verifiable methods are introduced: one utilizes divergence enumeration and convergence search algorithms within an n² matrix for pure digital computing tasks; the other involves indirect formalization of single-syllable Chinese characters and frequency statistics of word reuse. The results demonstrate the revelation of dual technical routes for Chinese natural language understanding and the verification of Informatics Basic Laws governing indirect computing models. The Collaborative Intelligent Computing System, through rational division of labor and high collaboration between computers and human knowledge, forms a third type of information processing mode, applied in bilingual information processing, computer-aided analysis, etc., mainly serving the needs of bilingual knowledge information processing in teaching, research, production, learning, and application activities.

Keyphrases: Indirect Computing, Indirect Formalization, computer, software, 计算机, 软件, 间接形式化, 间接计算

@booklet{EasyChair:15761,
  author    = {Xiaohui Zou and Shunpeng Zou},
  title     = {Collaborative Intelligent Computing System--Theoretical Model with Its Application},
  howpublished = {EasyChair Preprint 15761},
  year      = {EasyChair, 2025}}