Title :
Medical optimal decision making based holonic multi agent system
Author :
Esra, Alkaysi ; Reiner, Unland ; Weihs, Claus ; Branki, Cherif
Author_Institution :
Inst. for Comput. Sci. & Bus. Inf. Syst., Univ. of Duisburg-Essen, Essen, Germany
Abstract :
This paper concentrates on the decision process based on multi-agent system theory; the holonic paradigm, and swarm intelligence techniques, Bayesian probability since, among others, uncertainty is an inherent feature of a medical diagnostic process with highly reliable results. The presented approach focuses on reaching the optimal medical diagnosis with the minimum risk under the given uncertainty. Additional factors that play an important role are the required time for the decision process and the produced costs.
Keywords :
Bayes methods; decision making; medical diagnostic computing; multi-agent systems; Bayesian probability; decision process; holonic multiagent system; medical optimal decision making; optimal medical diagnosis; swarm intelligence; Bayesian methods; Decision making; Decision theory; Diagnostic expert systems; Information systems; Medical diagnosis; Medical diagnostic imaging; Medical expert systems; Particle swarm optimization; Uncertainty; Bayesian probability; decision theory; holonic multi agent system; self-organization swarm intelligence; stigmergy; uncertainty;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451382
