AI Programming for Decision Matrix Evaluation Theory; Case Study

When programming artificial intelligent systems to make decisions and or evaluate there are a number of theories that should be explored before choosing a specific path. Writing code is tedious and time consuming indeed and it is appropriate to do as much up front work as possible. First and foremost you need to decide on which model your AI system will take in its decision making process. If you intend to build a decision matrix system then you may wish to do a little philosophical discussion with yourself or your team. For instance think of ways in which mankind normally chooses things?

For instance in a beauty contest each woman would be given a numerical value on each event. Then after three to five events the woman with the highest score wins? In the Winter Olympics in 2006 each judge might have their own method of figuring things out and perhaps give consideration either objectively or subjectively to things such as technical work, creativity, uniqueness, performance and difficulty and come up with a score and thus use that to judge. All we see is a little card which says 9.8, 9.9 or a perfect