首页    期刊浏览 2024年09月21日 星期六
登录注册

文章基本信息

  • 标题:How to Improve Artificial Intelligence through Web
  • 其他标题:How to Improve Artificial Intelligence through Web
  • 本地全文:下载
  • 作者:Lupasc, Adrian
  • 期刊名称:Acta Universitatis Danubius. Oeconomica
  • 印刷版ISSN:2065-0175
  • 电子版ISSN:2067-340X
  • 出版年度:2010
  • 卷号:1
  • 期号:1
  • 语种:English
  • 出版社:Danubius University
  • 摘要:Intelligent agents, intelligent software applications and artificial intelligent applications from artificial intelligence service providers may make their way onto the Web in greater number as adaptive software, dynamic programming languages and Learning Algorithms are introduced into Web Services. The evolution of Web architecture may allow intelligent applications to run directly on the Web by introducing XML, RDF and logic layer. The Intelligent Wireless Web’s significant potential for rapidly completing information transactions may take an important contribution to global worker productivity. Artificial intelligence can be defined as the study of the ways in which computers can be made to perform cognitive tasks. Examples of such tasks include understanding natural language statements, recognizing visual patterns or scenes, diagnosing diseases or illnesses, solving mathematical problems, performing financial analyses, learning new procedures for solving problems. The term expert system can be considered to be a particular type of knowledge-based system. An expert system is a system in which the knowledge is deliberately represented “as it is”. Expert systems are applications that make decisions in real-life situations that would otherwise be performed by a human expert. They are programs designed to mimic human performance at specialized, constrained problem-solving tasks. They are constructed as a collection of IF-THEN production rules combined with a reasoning engine that applies those rules, either in a forward or backward direction, to specific problems.
  • 关键词:Artificial intelligence; computer software system; Web;Business Administration
国家哲学社会科学文献中心版权所有