Boolean Computation Versus Fuzzy Logic Computation

Abstract

Computational intelligence offers an in-depth exploration into the adaptive mechanisms that enable intelligent behavior in complex and changing environments. The main focus of this chapter is centered on the computational modeling of biological and man-made intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems, and evolutionary computation. This chapter, briefly, provides readers with a wide knowledge of computational intelligence (CI) paradigms and algorithms, inviting readers to implement and solve real-world, complex problems within the CI development framework. Man has learned much from studies of natural systems, using what has been learned to develop new algorithmic models to solve complex problems. This book presents an introduction to some of these technological paradigms, under the umbrella of computational intelligence (CI). In this context, the chapter to some degree will talk about artificial neural networks, evolutionary computation, swarm intelligence, artificial immune systems, and fuzzy systems, which are respectively models of the following natural systems: biological neural networks, evolution, swarm behavior of social organisms, natural immune systems, and human thinking processes.