Automatic Generation of Agents using Reusable Soft Computing Code Libraries to develop Multi Agent System for Healthcare

Abstract

This paper illustrates architecture for a multi agent system in healthcare domain. The architecture is generic and designed in form of multiple layers. One of the layers of the architecture contains many proactive, co-operative and intelligent agents such as resource management agent, query agent, pattern detection agent and patient management agent. Another layer of the architecture is a collection of libraries to auto-generate code for agents using soft computing techniques. At this stage, codes for artificial neural network and fuzzy logic are developed and encompassed in this layer. The agents use these codes for development of neural network, fuzzy logic or hybrid solutions such as neuro-fuzzy solution. Third layer encompasses knowledge base, metadata and other local databases. The multi layer architecture is supported by personalized user interfaces for friendly interaction with its users. The framework is generic, flexible, and designed for a distributed environment like the Web; with minor modifications it can be employed on grid or cloud platform. The paper also discusses detail design issues, suitable applications and future enhancement of the work.