Moreover, it simulates the Emotional Intelligence process. The model was built using fuzzy rules to explore the capability of fuzzy logic in the realm of emotional modeling. Fuzzy logic helped us to capture the fuzzy and complex nature of emotions. Experience and learning also helped in evolving our model to create a better illusion of reality. We chose to simulate a PET rather than a human or a creature, because pets have a limited set of goals that can be defined in a simple structure.
Humans are more complex than pets.
Thus, in order to simulate a human one will have to simulate the other processes as well, while in pets it was much simpler. However, we will argue that our model could also be used to simulate human emotions. In his presentation, Dr. House will briefly review the history of techniques for the representation of cloth and clothing in the field of computer graphics. The interacting particle method for modeling cloth will be explained, along with methods for tuning the model to represent a variety of different cloth types.