ABSTRACT
Th is chapter covers some immune-computing concepts, which have not been well developed yet but appear to have potential in providing more insights of immune processes. One such model, which has gained a lot of attention recently is the socalled danger theory (DT) (Matzinger, 1994, 2002). Th us, this chapter introduces the main ideas behind DT and briefl y describes some computational models based on the DT inspired by dendritic cells (DCs) functionalities. Other recent works presented include a multilevel immune algorithm, major histocompatibility complex (MHC)-based approaches, and cytokine networks. Th e last section discusses a hybrid approach, which combines negative selection (NS) and neural network methods to design a classifi cation algorithm.
