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Study on Ddynamic Bargaining System Based on Machine Learning
Haifeng Guo,Rongyi Cui 한국어정보학회 2006 한국어정보학 Vol.8 No.2
In this paper, aiming at the learning deficiency in the given bargaining systems, the decimal code, instead of binary code, is adopted to prevent variables from going beyond limitative scope, which will cause exceptional strategy. Furthermore, a dynamic bargaining system is presented based on machine learning (MLDBS). The result of experiment shows that the agent in MLDBS not can only identify its opponents successfully but can change its strategy in term of different opponents in a bargaining process. It is shown by the experimental datum that MLDBS increase successful times of bargaining and enhance the average payoff of agent.
Study on Printed Chinese Character Recognition Based on DHMM
Changlong Jin,Wu Di,Rongyi Cui 한국어정보학회 2006 한국어정보학 Vol.8 No.2
A novel printed Chinese character recognition method based on Degraded Hidden Markov Model is proposed in this paper, which can be applied to engineering. We extract one‐dimensional strokes sequence as the feature of the character under some rules and then take it as the input of the classifier we designed. As for the design of the classifier, we adopt the ergodic model instead of the traditional left‐right model, the performance of the classifier is proved by our experiment, and the recognition rate under out method is less affected by font.
Genetic Algorithm for Eight-Queen Problem
Wu Di,Jingxuan Jin,Rongyi Cui 한국어정보학회 2006 한국어정보학 Vol.8 No.1
This paper uses the real‐coding genetic algorithm to solve the 8‐queen problem that is the constraint problem of classic AI, and the good simulated result is given by MATLAB.