How to Improve Artificial Intelligence through Web

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.