Title :
Intelligent modeling of machine
Author :
Deng, Juan ; Chen, Xin Meng
Author_Institution :
Dept. of Comput. Si., Wuhan Univ., Hubei, China
Abstract :
This paper presents the conception of intelligent modeling of machine (IM) based on the research of human modeling. In this paper, "intelligence" means the capabilities of learning, discovery and creation; "modeling" is the procedure to find out a proper solution to a problem or a reasonable interpretation of a phenomenon. This paper proposes that machines can discover key points among a series of analogical features and relationship of different problems or phenomena on the basis of its knowledge, and then it can build a target model by synthetically considering from multi aspects. After applying a new model to practice, then checking and estimating the result, which is an important feedback for learning and modeling. Machine can adjust the model and its knowledge according to it. Therefore IM shows a humanlike modeling capability of machine and is able to lead to new scientific achievements.
Keywords :
knowledge based systems; learning (artificial intelligence); human modeling; learning; machine intelligent modeling; Algorithm design and analysis; Computer science; Feedback; Formal languages; Humans; Learning systems; Machine intelligence; Machine learning; Physics computing; Technological innovation;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1264504