Indian Journal of Science and Technology
Year: 2011, Volume: 4, Issue: 8, Pages: 995-999
Shahnam Abolghasemi1* , Javad Khalatbari2 and Mohammad Mojtaba Keikhayfarzaneh3
1 Department of Psychology, Islamic Azad University, Tonekabon Branch, Tonekabon, Iran.
2 Department of Psychology, Islamic Azad University, Tonekabon Branch, Tonekabon, Iran.
3 Department of Psychology, Young Researcher Club, Zahedan Branch, Islamic Azad University, Zahedan, Iran.
After achieving information process approach and analogy between human brain and computer, the similarities between brain performance and computer were propounded. Both the systems receive the information from the environment and save it, process it and restore it as basically both of them have soft-ware and hard-ware. Humans store information in the neurons akin to the storage of computer on silicon chips. For this similarity, the ability of computer is called the artificial intelligence. In human brain, not all information always register in neurons but some of these information latter crop up as remainder as unusable computer virus and the brain by natural sleep process or in dream will refine the additional information with reverse learning. If this information does not refined, the symptoms like psychosis disease, hallucination, delusion and so on are created in human beings. Similarly, the computer virus acts on the stored information and on the main programs. These viruses will be attached to the functional files and grows. From existence of program register, the computer viruses can be pointed to appearing as the unusual messages, reducing the memory content, disturbance in printer performance, broadcasting the unusual voices and changing the executive files and so on. So, in the parley of to artificial intelligence world it can be identified as artificial Schizophrenia similar to human Schizophrenia. Thus, understanding artificial intelligence may help to understand the human brain function and in evolving treatment strategies.
Keywords: Siliconi chips , reverse learning, artificial intelligence, Schizophrenia
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