Fuzzy neural Web agents for efficient NBA scouting

Article type: Research Article

Authors: Atlas, Mourad^; | Zhang, Yan-Qing

Affiliations: Department of Computer Science, Georgia State University, Atlanta, GA 30302-3994, USA

Note: [] Corresponding author. E-mail: [email protected].

Abstract: The intelligent agents are very useful for World Wide Web applications. Intelligent agents are designed and implemented for a variety of tasks in diverse range of applications: managing e-mail, navigating and retrieving information from the Internet, online shopping, electronic business, monitoring stock prices or currency exchanges, etc. In this paper, we present and describe an intelligent service agent that assists an NBA scouting agent in his/her work. The particularity of our agent is that it not only retrieves relevant information about NBA players from the Internet for the scouting agent but also derives metadata from that information, which consist of player performance evaluation and player statistics prediction.

Keywords: Web agents, neural networks, fuzzy logic, computational web intelligence, NBA scouting

DOI: 10.3233/WIA-2008-0131

Journal: Web Intelligence and Agent Systems: An International Journal, vol. 6, no. 1, pp. 83-91, 2008