Problem Solving with AI
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== Problem 3 ==
== Problem 3 ==
Revision as of 00:27, 26 July 2007
The following are some problems that show the powers of diferent AI problem solving solutions
You are gathering data on the habits of a person, more specifically their spending habits. This data should help you build a profile on person who is spending so that any changes in their normal spending habits can easily be identified. To do this you should harness the power of computer intelligence. Which AI system works best?
Neural Networks are a standard for detecting credit-card fraud. The neural network trains itself to identify normal spending patterns. They analyze each new purchase and compare it with previous purchases and raise a red flag when the purchases do not match the previous spending pattern.
To read more on Neural Networks please look here.
You are creating a program that will act similar to a human but the information the program will get will not be exactly measurable (such as focusing a camera or keeping a fridge at a certain temperature) This program will need to take in approximate information and come to an answer that is best fit but not exact as such an answer would be impossible. What it the best AI system to use?
Fuzzy logic is utilized in many “automatic” and “smart” appliances today. Using imprecise data it makes approximations much the way humans do. Some common appliances that use fuzzy logic are refrigerators, ACs, washing machines and even car breaks.
To read more on Fuzzy Logic please look here.
You want to simulate a crowd of creatures interacting with architecture and eachother in a believable manner. An AI system will have to not only allow these crowds to avoid terrain and eachother, but also provide a crowd dynamic and a virtual goal to each character. What would be some possible soluations?
Massive is a software package created by Weta Digital that was used for the simualation of digital crowds it relies heavily on fuzzy logic. For more information on Massive you can look at thier website here