Artificial Intelligence has been brain-dead since the 1970s. This rather ostentatious remark made by Marvin Minsk co-founder of this world-famous MIT Artificial Intelligence Laboratory, was speaking to the fact that researchers have been mostly concerned on little aspects of machine intelligence rather than looking at the issue as a whole. This report examines the modern issues of artificial intelligence AI considering the current condition of the AI field together with powerful arguments supplied by top experts to illustrate whether AI is an impossible idea to obtain.
Due to the scope and ambition, artificial intelligence defies simple definition. Originally AI was defined as the science of making machines do things that would require intelligence if done by men. This somewhat meaningless definition demonstrates how AI is still a young discipline and similar ancient definitions are shaped by theoretical and technological progress made in the topic. So for now, a great general definition that exemplifies the future challenges at the AI area was created by the American Association for Artificial Intelligence AAAI clarifying that AI is the scientific comprehension of the mechanisms underlying thought and intelligent behavior and their embodiment in machines.
The term artificial intelligence was first coined by John McCarthy in A Conference at Dartmouth College, New Hampshire, in 1956, but the idea of machine intelligence is actually much older. In early Greek mythology the smith-god, Hephaestus, is credited with creating Tales, bull-headed bronze guy who defended Crete for King Minus by patrolling the island terrifying off impostors along manifesting generator. Likewise in the 13th century mechanical talking heads have been said to have been made to frighten intruders, with Albert the Great and Roger Bacon reputedly one of the owners.
However, it is only in the past 50 years that AI has truly started to pervade popular culture. Our fascination with thinking machines is evident, but has been wrongfully distorted by the science-fiction connotations found in literature, television and film. When modelling AI on the human mind many illogical paradoxes surface and you start to see how the complexity of this Brain was underestimated and why simulating it is not be as straightforward as specialists believed.
The issue with human beings is they are not algorithmic creatures they prefer to use heuristic shortcuts and analogies to situations well known. However, this is a Psychological implication, it is not that people are smarter than explicit Algorithms, but that they are sloppy and do well usually. Low emotion equals low consequences. In Walking between the Worlds, Gregg Braden illustrates how emotions EM energy are directly associated with the building blocks of life DNA, demonstrating that there is a connection between all emotions and creation.