=Paper=
{{Paper
|id=Vol-1478/paper19
|storemode=property
|title=Multi-agent System for Usability Improvement of an University Administrative System
|pdfUrl=https://ceur-ws.org/Vol-1478/paper19.pdf
|volume=Vol-1478
|dblpUrl=https://dblp.org/rec/conf/simbig/PerezG15
}}
==Multi-agent System for Usability Improvement of an University Administrative System==
https://ceur-ws.org/Vol-1478/paper19.pdf
Multi-agent system for usability improvement of a university
administrative system.
Jorge Leoncio Guerra Guerra Félix Armando Fermín Pérez
Universidad Nacional Mayor de San Marcos Universidad Nacional Mayor de San Marcos
Facultad de Ingeniería de Sistemas e Informática Facultad de Ingeniería de Sistemas e Informática
Laboratorio de Robótica e Internet de las Cosas Laboratorio de Robótica e Internet de las Cosas
jguerrag@unmsm.edu.pe fferminp@unmsm.edu.pe
Abstract by the user in a transparent manner, so that the
usability of the system is also improved.
The implementation of multi-agent systems is one
of the specific ways to integrate heterogeneous
2. Proposed implementation
information systems, by creating a software agent
that performs specific tasks within a field of known
The structure of the proposed multi-agent
action, as in the case of the travelling salesman system is shown in Figure 1.
problem or an agent searching clinical data of a
patient. In this paper, the development of a mobile
agent is proposed for the implementation of
university administrative services across
heterogeneous servers, interacting in turn with
other intelligent agents in an heterogeneous
communication environment. This will generate a
single-access interface, which will serve to
improve the usability of the system when the client
makes an administrative request regardless of the
server on which the requested procedure is
processed.
Keywords: Integration, usability, agents, multi-
agent systems, heterogeneous services.
Figure 1 – Proposed multi-agent system
1. Introduction Using the GAIA methodology (Zambonelli et
The portal of the University Inca Garcilaso de al, 2003) for modeling a system of agents,
la Vega (http://www.uigv.edu.pe) is a web agents that will be built on the prototype are
application that offers different services defined:
available in each of the offices of the a.- Client Agent: captures requirements or
institution, which is accessed through service requests from users; interacts with the
hyperlinks from Faculties, Research Units, mobile agent to process the request and sends
Distance Education, etc. the response to the client system for viewing
An integrated system by software agents or joining the client process.
(Shiao, 2004); in which, with a single
interface, a user can access different services b.- Server Agent: interacts with the server of
without having to go through different pages the corresponding office to transfer the request
to finish their request; will make possible to from the mobile agent, processes the requested
link these services regardless of the Faculty service, and sends the response to the mobile
where they are and make the process requested agent.
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c.- AGMER Agent: mobile agent moving All modules will communicate via web
through JADE middleware to interact with services, with interface agents using AXIS 2.
clients and servers, has the ability to divide
received requests into subtasks performed by 3. Conclusions and future work
different servers. The single-interface model for administrative
One advantage of using GAIA is that it can be procedure systems is suitable to improve the
combined with diagrams from UML as usability of a web portal to reduce the number
described in Kang et al (2004), for this reason of interactions.
UML diagrams and GAIA models A multi-agent system allows an heterogeneous
(Wooldridge et al is used., 2000) will be used implementation of components as well as
for its construction. asynchronous communication similar to a
Once developed, the model will be request of a university administrative
implemented as shown in Figure 2. procedure.
JADE is a suitable platform for developing
agents due to its ease of use, and adaptability
to development methodologies of multi-agent
systems.
As future work it is proposed to develop
indicators to measure implemented services,
the frequency of use of the services, and
others, that will be collected and stored in the
cloud for future analysis using Big Data tools.
4. References
Dan Shiao. 2004. Mobile Agent: New Model of
Intelligent Distributed Computing. IBM China,
October, 2004.
Franco Zambonelli, Nicholas Jennings, Michael
Wooldridge. 2003. Developing Multiagent
Systems: The Gaia Methodology. ACM
Transactions on Software Engineering and
Methodology. 12(3): 317–370.
Figure 2. Components.
In the development process is suggested the Miao Kang, Lan Wang, Kenji Taguchi. 2004.
Modelling Mobile Agent Applications in UML2.0
use of Eclipse Luna, JDK 8.0_41 and JADE
Activity Diagrams, Proceedings of the 6th
4.3.2 for creating agents. In the prototype, it International Conference on Enterprise
was initially considered the access to these Information Systems. Porto. Portugal. Vol. IV:
basic services for a university student from the 519-522.
case study:
Michael Wooldridge, Nicholas Jennings, David
a. Specialized Library System with Struts 2, Kinny. 2000. The Gaia Methodology for Agent-
running on Google App Engine cloud, a PAAS Oriented Analysis and Design. Journal of
solution. Autonomous Agents and Multi-Agent Systems,
b. PRODI (English Learning Program) vol. 15. Kluwer Academic Publishers, Boston. The
registration system with Node.JS, OpenShift, Netherlands.
a PAAS solution.
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