The STUDIA UNIVERSITATIS BABEŞ-BOLYAI issue article summary

The summary of the selected article appears at the bottom of the page. In order to get back to the contents of the issue this article belongs to you have to access the link from the title. In order to see all the articles of the archive which have as author/co-author one of the authors mentioned below, you have to access the link from the author's name.

  
       
         
    STUDIA INFORMATICA - Issue no. 2 / 2000  
         
  Article:   A METHOD FOR TRAINING INTELLIGENT AGENTS USING HIDDEN MARKOV MODELS.

Authors:  GABRIELA ŞERBAN. 		 
       
         
  Abstract:  It is well-known that, in this moment, the field of intelligent agents represents an important research direction in Artificial Intelligence, which offers a new method for problem solving and a new way for interac- tion between the computer and the user. The use of mathematical statistic- methods represents a leading topic in this field. Hidden Markov Models (HMM) are often used as a mathematical tool for modeling the environment of intelligent agents. In this paper we propose a learning method for an agent which recognize characters, based on training an Hidden Markov Model.  
         
     
         
         
      Back to previous page