The field of artificial intelligence has recorded a rapid and spectacular evolution since 1956, researchers achieving great successes in creating intelligent machines capable of partially doing what human beings are able to do.
Obviously, researchers have encountered and still encounter several problems in simulating the human intelligence. An intelligent machine must have a number of characteristics and must correspond to some particular standards. If you want to know more information about the business model innovation, then you can click: Best Business Model Innovation Consulting – Innovation360.
For instance, the human being is able of solving a problem faster by using mainly intuitive judgments rather than conscious judgments.
Another aspect that researchers have considerably analyzed was the knowledge representation which refers to the knowledge about the world that intelligent machines must have in order to solve problems such as objects or categories of objects, properties of objects, relations between objects, relations such as those between causes and effects, circumstances, situations etc.
Moreover, another challenge for researchers in the field of artificial intelligence refers to the fact that intelligent machines must be able to plan the problems that need to be solved, to set a number of goals that must be achieved, to be able to make choices and predict actions, they must be able learn, to understand the human languages and to display emotions and be able to understand and predict the behavior of the others.
Artificial intelligence is an extremely challenging and vast field of knowledge which poses many questions and generates many controversies but also solves many problems that technology and industry are confronting with today and may offer many answers in the future.