There are lots of alternative physics models out there. In this presentation we will not be looking at a specific model, but rather a map of how a large number of different alternative and conventional models fit together cohesively. Further, the map is a methodology for classifying new models. Additionally, we will do an exposition of lessons from Computer Science and Artificial Intelligence that can be applied to Physics, as well as other sciences and realms of reasoning (e.g. law). Note the primary motivation for this map is NOT the inclusion of alternative physics models. The primary motivators are the severe computational issues of conventional Physics Maps in general, as well as the large bodies of observed data that are traditionally ignored by academia.
