CIS 2010 Chapter Notes - Chapter 3: Massively Parallel (Computing), Fuzzy Logic, Artificial Neural Network
9 Dec 2018
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Document Summary
Module 14: simulates human thinking and behavior, such as the ability to reason and learn. Its ultimate goal is to build a system that can mimic human intelligence. Computerized advisory programs that imitate the reasoning processes of experts in solving difficult problems. Typically, they include a knowledge base containing various accumulated experience and a set of rules for applying the knowledge base to each particular situation. A category of ai that attempts to emulate the way the human brain works. Neural networks analyze large quantities of information to establish patterns and characteristics in situations where the logic or rules are unknown. Fuzzy logic: a mathematical method of handling imprecise or subjective information, the basic approach is to assign values between 0 and 1 to vague or ambiguous information. In accounting and finance, fuzzy logic allows people to analyze information with subjective financial values (intangibles such as goodwill) that are very important considerations in economic analysis.
