mailto:uumlib@uum.edu.my 24x7 Service; AnyTime; AnyWhere

IHK: Intelligent autonomous agent model and architecture towards multi-agent healthcare knowledge infostructure

Hashmi, Zafar and Adwan, Somaya Maged (2010) IHK: Intelligent autonomous agent model and architecture towards multi-agent healthcare knowledge infostructure. In: Knowledge Management International Conference 2010 (KMICe2010), 25-27 May 2010, Kuala Terengganu, Malaysia.

[thumbnail of PG677_682.pdf] PDF
Restricted to Registered users only

Download (119kB)

Abstract

Intelligent autonomous agents is an emerging technology that excels the applications, having complex distributed nature and requiring communication of complex and diverse forms of information, when deployed in multi-agent system setting.As healthcare is a complex domain and distributed in nature, scientist have started to deploy intelligent agents and multi-agent technologies indifferent healthcare information and decision support systems. We argue that efficacy of multi-agent system and performance of multi-agent system architecture in any domain, in particular healthcare domain heavily depends on a single agent architecture and model that mimic human behavior.In this paper we present, Hybrid Intelligent Autonomous Agent (IAA) Model, Hybrid Intelligent Autonomous Agent (IAA) Architecture, and based on these two fundamental building blocks, designing and development of an Intelligent Multi-agent Healthcare Knowledge Infostructure (IHK)

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN 978-983-2078-40-1 Organized by: UUM College of Art & Sciences, Universiti Utara Malaysia
Uncontrolled Keywords: Intelligent agents, architecture, multi-agent system, Healthcare Knowledge Management
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 05 Jun 2014 01:17
Last Modified: 05 Jun 2014 01:17
URI: https://repo.uum.edu.my/id/eprint/11251

Actions (login required)

View Item View Item