Class Preparation Material for Artificial Intelligence The class preparation quiz for this topic will be administered at the end of the class period. In theory, everyone should read/study the material to be covered (seen below) and then I will provide additional reinforcement of that same material in class (two different ways to get the same stuff).

With that being the case, please make sure that you read the following: 1) The DSS/AI pdf file, found in the Readings to download section of KSU Online. This had previously been assigned. Please read pages 12-33 from that file.

As you read those pages, make sure that you know the following:  Describe  Know the different forms of artificial intelligence and when each one is typically used  How are rules and IF statements used in expert systems?  When talking about artificial intelligence, what is the role of fuzzy logic?  Know the 4 different types of intelligent agents (definition and examples of what they do). How is one form different from other forms?  Know what data-mining is and how data warehouses are considered to be multidimensional. What is a cube? It would be a good idea to understand the different aspects of a cube and how it can be “sliced and diced”. This will be mentioned in class and it can also be seen in the PowerPoint slide where cubes A, B and C are seen.  For each of the artificial intelligence systems, what human ability is being “mimicked” and how does that particular system go about solving business problems? Know specific business examples for each.  How does an expert system function? What happens when you use it?  Be able to distinguish between the following types of agents: data-mining agent vs information agent vs monitoring & surveillance agent vs user agent. Know examples of each.  What form of artificial intelligence is able to learn and modify itself as a result of its learning?  What form of artificial intelligence is able to apply reasoning capabilities to solve a problem?  What form of artificial intelligence compares and searches for matches?  Evaluate  Know the difference between a DSS vs expert system vs genetic algorithm vs neural network vs intelligent agent. Know the characteristics of each and applications of where each could be used.  You will see LOTS of scenario questions where I will ask that you indicate which system would BEST solve the problem. Several of these types of questions for each system mentioned above.