Modelling as a way in design of novel algorithms in computational intelligence

There has been a growing interest in recent years in development of computational intelligence methodologies that relate to nature-inspired computational methodologies and approaches to address complex real-world problems to which traditional approaches, are ineffective or infeasible. The essential to development of novel algorithms is modeling the phenomena of the nature in that way that they can be applied to solving technical problems Artificial Immune Systems are one of the recent methodologies in computational intelligence. AIS can be defined as computational systems inspired by theoretical immunology, observed immune functions, principles and mechanisms in order to solve problems. In the talk I will give an overview about the role of Modelling in Artificial Immune Systems and how we are using them for anomaly detection and protecting ad-hoc networks from attacks.