Undirected Behavior Without Unbounded Search.

The idea outlining the essence of traditional artificial intelligence is a system that decides how to act, by data mining, and running formal reasoning procedures over a body of explicitly represented knowledge. Many traditional approaches have led to successful artificial intelligence systems, and have two important things in common. They use explicit representations and formal reasoning, and avoid unbounded search or other weak methods. This vision still remains the primary determinant of artificial intelligence, however, many people have concluded that traditional approaches do not comprehend to realistic settings. Recent times have witnessed the evolution of different approaches to artificial intelligence. The problem with these new approaches leans on unbounded search and weak methods. The key element in the success of artificial intelligence systems is their ability to constrain search. It is easy to criticize traditional and constrained approaches of artificial intelligence as being less central to the field, however, these are actually closer to what intelligent beings do.