A Research of Gene Module and Key Manipulating Parameters Used in Generalized Artificial Life

• Main Authors: Min-he Tsau, 曹民和
• Other Authors: Wei-wen Kao
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/62953870934912090172

博士 === 國立臺灣科技大學 === 機械工程系 === 97 === Artificial Life(Alife) developes very fast these years. The methodology of Alife differs a lot from the methodology of traditional natural science or social science research. The process of traditional science research begins with close observations of several case study results (or sometimes only by mathematical deduction or surmise). Then a general rule, coinciding to a proper mathematical model, will be concluded. After its availability being proved through successful application to more other cases, this general rule will be accepted by the public. Some part of of Alife methodology is the same as to that of traditional science, but some other part differs a lot. Both need close observation of special case studies. But the mathematical model of traditional science is replaced by a gene model or evolutional model in Alife study. In this paper, through some elaborative case studies, we proposed the concept of "Generalized Artificial Life". Also we proposed innovative methodology of application of "Tissue Gene Module", “Process Gene Module” and "Key Manipulating Parameter". Here Key Manipulating Parameter paves the way for an optimal design of efficient usage of resources of implementation facilities. In addition , "Gene Module" is used to replace "Gene Parameter" which is the only style of gene in traditional Alife research. This evolutional process of "Gene Module" is more analogous to that of real life, and has the potential to develop more complicated Alife. We submitted two successful case studies to verify the new methodology proposed in this paper. One is related to the prediction of stock market. The other is a general solution to the Tower of Hanoi problem. Tissue Gene Module was used in the case study of stock market prediction. Process Gene Module and Key Manipulating Parameter were used in the general solution to the Tower of Hanoi problem. Due to resource limitation, we did not apply our method to more case studies. However, we believe the proposed "Generalized Artificial Life" methodology is useful and points out a new direction of Alife research. Further related works such as more case studies, and precise establishment of module of our method shall be left to later studies.