Arificial Intelligence, Simulation and Modelling

Intellegence systems process informaton in a knowledgebase.  Daemons are a form of atificial intellegence wich stay dormant until a certain condition until a certain condition occurs and it initiates itself.  An agent is a data base which finds our search and brings back the results for you such as Google. 
Expert systems such as medical diagnisis machines help to identify health problems.  there is an online diagnosis machine that students could look at called Web MD Click here for webMD .  input to processing to out put like the impulses reciveing and sending a responce.  Neutral networks can be taught such as voice recognition software. 

Models and simulations
A model is something like a weather map and the simulation takes the information and creates the simulation of the weather like the cold and warm fronts.  games and simulations like lemonade stand and second life. 
Real life examples are things such as financial models where information is fed into the computer and it works out the amounts of money for things such as loans. 
Artificial intellegence also includes robots as they are programmed with intellegence wich allows them to do a range of things including dancing, interacting with the world around it, telling the difference between objects and many other actions as you can see in the video below. 

How you could teach artificial intelligence
students could look at at the history of artificial intellegence.  students could look at simulations. 
Evaluation criteria studnts may wish to develop thier own criteria for a knowledge base. 
students could also look at some web sites and games such as lemonade stand a game that i played at school where an expert system is used and you buy the ingredients for your lemonade stand and you change the quantities such as haveing more ice on sunny day and the compter give you results for how many cups of lemonade you sold.
Lemonade Stand game