Anforderungen an Abschlussarbeiten

Die Anforderungen an Abschlussarbeiten sind für alle studentischen Ausarbeitungen (d.h. Abschlussarbeiten, Projektseminararbeiten, Seminararbeiten, etc.) an unserem Lehrstuhl verbindlich und MÜSSEN eingehalten werden! Etwaige Abweichungen MÜSSEN mit dem Betreuer der Arbeit abgesprochen werden! Nicht-abgesprochene Abweichungen von den Anforderungen an studentischen Ausarbeitungen führen in der Regel zu einer Bewertung der Arbeit mit "nicht ausreichend".

Bitte beachten Sie unbedingt die folgenden

Hinweise zu unseren Lehrveranstaltungen
(Moodle-Login erforderlich; ggf. als Gast)!

Concept and Design of a Learning/Teaching Component for Disease Specialists Agents in a Holonic Medical Diagnostic System

Art der Arbeit:
  • Masterarbeit Informatik
  • Diplomarbeit Informatik


At the

University Duisburg-Essen, a holonic medical diagnostic system based on

multi-agents technology  and swarm

intelligence is developed through the last years.
The system

combines the advantages of the holonic paradigm, multi-agent technologies and

swarm intelligence in building a highly adaptive, scalable, flexible, reliable

and robust Internet-based medical diagnostic system.
The medical

diagnostic system is compound of three type of agents: a mediator agent, many

diagnosis specialist agents and disease representative agents.
The mediator

agent represents the diagnostic system interface to the diagnosis requester and

to the physician/specialist evaluator. Several diagnosis specialist agents are

becoming part of the ad-hoc holonic structure in order to provide a suitable

diagnostic. The disease representative agents are related to each defined

disease that can be a diagnosis result. A disease representative agent

determines if a set of symptoms matches its own symptom pattern. 
In diagnosis

retrieval process, the agents follow a specific swarm intelligence method to

build a holonic structure that provides one or more possible diagnostics. Each

diagnostic returned by the system has a probability to match the true

diagnostic that, in common way, is determined by the physician. The diagnosis

specialist agent of a certain level is forwarding the symptoms description data

as computer readable patient pattern to other diagnosis specialist agents of a

lower level in order to receive from them later on a diagnostic that can

satisfy the symptoms constraints. Any 

diagnosis specialist agent encapsulates a learning/teaching component

and a disease specific component that are determining the agent capability to

adapt or to adopt a new disease as representative.
This thesis has

to contribute to the diagnosis specialist agent development by introducing the

design and implementation of a learning/teaching component and of a disease

specific module required by such an agent.
The following

milestones have to be reached by the thesis:
1. Realization of a Learning

Component for acquiring of new disease data from another agent or from a

special system;
2. Realization of a Teaching

Component for publishing of description data for actual disease that the

diagnosis specialist agent contains.
3. Implementation of a Disease

Specific Component to operate with standard format of the disease data and with

operations that the disease specialist agent can perform on that data;

standardization of the disease data has to be handled;


implementation, one of the most common object oriented programming

languages,   Java and C++ have to be