Analysis on Intelligent Agent based Approach for Software Engineering

Abstract

A broad area of research, known as "Agent-Based Computing", focuses on developing "agent-based" intelligent software using agent-based techniques. However, there is a scarcity of research focusing on providing enough evidence of the superiority of agent-based techniques in creating complex software systems. This article has attempted to provide evidence for why agent-based techniques are superior to traditional methods for creating complex software systems, such as control systems. A case of a distinct agent-based control system (the power transportation management system used by Iber-26 drola) is used to illustrate these broader principles. This line of reasoning allows advocates of complex software engineering paradigms to accurately assert that their method can replicate the essential ideas behind agent-based computing. When broken down to their most basic components, agent-based systems are just computer programmes, and every programme has the same set of computable functionalities. The value of a paradigm lies in the way of thinking and the tools it teaches to programmers. As such, agent-based ideas and approaches are not just an extension of those now accessible within existing paradigms, but also well suited to the development of large, networked systems.

Artificial Intelligence and Agent based Modeling for Power System Engineering

“…This converter employs a clamp circuit to smooth down the switching transition and eliminate [28] any harsh voltage changes that might damage the power semiconductor components. The converter's size and cost are decreased when compared to standard converters due to the use of a single input inductors and the absence of a clamp winding [29].…”