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Essay / Research Paper Abstract
This 7 page paper provides an overview of AI, or artificial intelligence, and its use. This paper specifically considers the use in chaotic financial markets. Bibliography lists 8 sources.
Page Count:
7 pages (~225 words per page)
File: MH11_MHAICHAO.rtf
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Unformatted sample text from the term paper:
for decades. Emerging decision support systems (DSS), changing systems for financial prediction, and the application of new operational systems have all come into focus in the midst of sometimes
chaotic financial markets. As a result, researchers have proposed the use of neural networks, genetic algorithms and fuzzy systems to provide new perspectives and innovative ways to find profitable
opportunities in chaotic financial markets. Understanding these three different forms of artificial intelligence, neural networks, genetic algorithms and fuzzy systems, is beneficial in considering their application for prediction
in chaotic financial markets. Reflecting on the utility of these systems and the use of these elements relative to decision support systems can provide support for decisions that is
more precise than traditional investment models. At the same time, the use of these systems is not without question, and there are some problems that relate to the use
of these as predictions for change. DSS The use of artificial intelligence or computer-based operational systems for decision-making in the business
world has extended from what has been described as DSS. Decision Support Systems, abbreviated DSS, refer to interactive computer systems that provide for the gathering and collecting of information
from a range of sources, and can then be utilized for business decision-making purposes (DSS, 2003). For example, DSS systems have been utilized to determine a companys choice for
the expansion into particular markets or the use of certain investment procedures, both of which can be determined through information gathered by a DSS. This devise, then, would gather
information from a variety of resources (often using a tool like OLAP) in order to determine the ability of the company to succeed through specific expansion efforts (DSS, 2003).
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