Adaptive immunity provides the unique ability to respond to a nearly infinite range of antigenic determinants. Given the inherent plasticity of the adaptive immune system, a series of tolerance mechanisms exist to reduce reactivity toward self. While this reduces the probability of autoimmunity, it also creates an important gap in adaptive immunity: the ability to recognize microbes that look l...

According to a definition found in the summary of the Workshop on Adaptable and Adaptive Software[LL95]: “A program is called adaptive if it changes its behaviour automatically according to its context”. Within this context, we restrict our research domain to the automatic runtime adaptation of existing behaviours. In this paper, we propose an Adaptive Strategy Design Pattern that can be used t...

The use and potential benefits of self-adaptive mutation operators are well-known within evolutionary computing. In this paper we begin by examining the use of self-adaptive mutation in Learning Classifier Systems. We implement the operator in the simple ZCS classifier and examine its performance in two maze environments. It is shown that, although no significant increase in performance is seen...

a mobile manipulator robot is known as a complex system due to some properties such as coupling between the manipulator and mobile chassis, holonomic and nonholonomic constraints, multivariable and nonlinear dynamics. the control of robot faces the external disturbance, parametric uncertainty and unmodeled dynamics. therefore, the use of an adaptive fuzzy system is suggested for its capability ...

In this paper, a parallel multisplitting iterative method with the self-adaptive weighting matrices is presented for the linear system of equations when the coefficient matrix is an H-matrix. The zero pattern in weighting matrices is determined in advance, while the non-zero entries of weighting matrices are determined by finding the optimal solution in a hyperplane of α points generated by the...

This paper presents a framework for building and modeling a new-generation self-adaptive systems. The first part of the paper proposes an architecture of a self-adaptive networked entity that forms the basic element of the approach. The second part describes a modeling environment based on Matlab / Simulink and one possible implementation of the self-adaptive networked entity. A physical realiz...

In this paper, we study the non-stationary parallel multisplitting two-stage iterative methods with selfadaptive weighting matrices for solving a linear system whose coefficient matrix is symmetric positive definite. Two choices of Self-adaptive weighting matrices are given, especially, the nonnegativity is eliminated. Moreover, we prove the convergence of the non-stationary parallel multisplit...

Self adaptive systems must recon gure themselves at run time to compensate for changing environments objectives and system capabilities This paper discusses how the SA CIRCA architecture for intelligent autonomous systems can automatically synthesize customized control software on the y and how that synthesis process itself can be managed to conform to real time deadlines that may constrain the...