Rashi Agarwal

General Noise-Perturbed Superior Julia Sets

The aim of this paper is to offer an integrated approach to study the additive and multiplicative noises with respect to perturbations in superior Julia sets. External and internal perturbations in superior Julia sets are analyzed under the mixed effect of additive and multiplicative noises.

Effect of noise on julij sets generjted by logistic MJP

Julia sets are considered one of the most attractive fractals and have wide range of applications in science and engineering. Jrgyris et al. [4] have studied the ef fect of dynamic noise on Julia sets and concluded that Julia sets are stable for noises of low strength, and a small increment in the strength of noise may cause deterioration in configuration of the Julia sets. Rani and Jgarwal [16] have generate d Julia sets from complex logistic map. We study the effect of dynamic noise on the Julia sets generated by complex logistic map.

A novel OLDA evolving agent architecture

Abstract The objective of the paper is to define an architecture which can be used in designing of evolving agents. Proposed architecture consists of four modules and four repositories that enable evolving nature in the agent. The architecture can be used to design an agent that works on behalf of a user. The architecture has been experimented in MATLAB using regression tree learning method. Experiments have been performed on a sample of 1000 purchasing patterns. Two experiments have been carried out that show that an increment of 19.94% average success can be achieved by implementing evolving capability in the agent and 14.5 average evolution cycles are needed to achieve 100% success for the agent. Agent developed using proposed architecture is able to change itself without the involvement of human being and it supports agent-oriented software development.