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Expert Systems and Neural Networks The Development and Limitations of Expert Systems and Neural Networks The human experience demands a constant series of decisions to survive in a hostile environment. The question of "fight or flight" and similar decisions has been translated into computer-based models by using the now-famous "if-then" programming command that has evolved into the promising field of artificial intelligence. In fact, in their groundbreaking work, Newell and Simon (1972)

Software Development Life Cycle ( SDLC) Explain Requirement process ( in SDLC) in detail. Why is this exercise important? Requirements engineering is a fundamental activity in systems development and it is the process by which the requirements for software systems are identified, systematized and implemented and are followed through the complete lifecycle. Traditionally engineers focused on narrow functional requirements. Now it is being argued by Aurum and Wohlin (2005) that focusing only

Risk analysis projects are relatively expensive, and were so even in the mainframe computing era, because they involved the collection and evaluation of a significant volume of data. Earlier risk studies were conducted by in house staff or consultants and the in house people did not have much experience regarding the matter and the consultants did not know much about the requirements of the organization. Presently, the familiarization task has

85). Newly independent countries joined in the shipping industry as a way of demonstrating their economic independence, leading to an increase in the number of open registers as owners in the traditional maritime countries could now register in countries with less demanding tax laws and lower costs for workers. Shipbuilding, which had long been dominated by Europe and North America, moved instead to East Asia. Other changes also took place

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