Artificial Intelligence: One Of The Most Elusive Subjects In Computer Science

“In which we try to explain why we consider artificial intelligence to be a subject most worthy of study, and in which we try to decide what exactly it is, this being a good thing to decide before embarking.” (Russell et. al, 1994). Artificial intelligence still remains to be one of the most elusive subjects in Computer Science despite the various research and studies conducted for decades (Smith, 2006). AI currently encompasses a vast variety of subfields, from general-purpose areas such as perception and logical reasoning, to specific tasks such as playing chess, proving mathematical theorems, writing poetry, and diagnosing diseases (Russel et al., 1994). Nevertheless, due to the broad range of subjects that Artificial Intelligence

According to Haugeland (1985), AI is the exciting new effort to make computers think, and machines with minds, in the full and literal sense. Likewise, Charniak and McDermott (1985) describe it as the study of mental faculties through the use of computational models. In the year 1990, Schalkoff define AI as the study that seeks to explain and emulate intelligent behavior in terms of computational processes. Similarly, Kurzweil (1990) refer to AI as the art of creating machines that perform functions that require intelligence when performed by people. A year after Schalkoff and Kurzweil, another description of Artificial Intelligence emerged which states that it is the study of how computers do things at which, at the moment, people are better (Rich and Knight,

Some intelligence features are more developed in a human’s brain; other intelligence features are more developed in modern computers (Computer intelligence versus Human intelligence, n.d). According to computer analysts, it is understood that the ability of a computer brain is limited since it is programmed or designed to work with a certain parameter while the human brain is capable of doing anything without any known parameters. For short, artificial intelligence is a product of the human intelligence and not vice versa (greatmarartha, 2004). Given the fact that machines that were built or conceived is unquestionably high-tech and advanced, it is still not as potent and creative as the human brain yet. But this fact does not cure the fears and doubts of human beings for the reason that there are recent studies of artificial intelligence which shows that machines are fast learners and some theories give potential to computer brains to adapt the dimension of human brain’s abilities (Simtara,