Synthesis reasoning and its application in Chinese calligraphy generation

Song Hua Xu, Yun He Pan, Yue Ting Zhuang, C. M.Lau Francis

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper, we address the demanding task of developing intelligent systems equipped with machine creativity that can perform design tasks automatically. The main challenge is how to model human beings' creativity mathematically and mimic such creativity computationally. We propose a synthesis reasoning model as the underlying mechanism to simulate human beings' creative thinking when they are handling design tasks. We present the theory of the synthesis reasoning model, and the detailed procedure of designing an intelligent system based on the model. We offer a case study of an intelligent Chinese calligraphy generation system which we have developed. Based on implementation experiences of the calligraphy generation system as well as a few other systems for solving real-world problems, we suggest a generic methodology for constructing intelligent systems using the synthesis reasoning model.

Original languageEnglish (US)
Pages (from-to)495-509
Number of pages15
JournalZidonghua Xuebao/Acta Automatica Sinica
Volume31
Issue number4
StatePublished - Jul 1 2005

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Information Systems
  • Computer Graphics and Computer-Aided Design

Keywords

  • Intelligent Chinese calligraphy generation
  • Intelligent system design
  • Synthesis reasoning model
  • System design methodology

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