Publication:
Methodological design and comparative evaluation of a MAS providing AmI

Thumbnail Image
Identifiers
URI: https://hdl.handle.net/10016/18938
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2012.02.170
UXXI: AR/0000010133
Files
methodological_carbo_molina_ESA_2012_ps.pdf (2.08 MB)
Publication date
2012-09
Defense date
Authors
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Impact
Google Scholar
Export
Research Projects
Organizational Units
Journal Issue
Abstract
Researches on Ambient Intelligent and Ubiquitous Computing using wireless technologies have increased in the last years. In this work, we review several scenarios to define a multi-agent architecture that support the information needs of these new technologies, for heterogeneous domain. Our contribution consists of designing in a methodological way a Context Aware System (involving location services) using agents that can be used in very different domains. We describe all the steps followed in the design of the agent system. We apply a hybridizing methodology between GAIA and AUML. Additionally we propose a way to compare different agent architectures for Context Aware System using agent interactions. So, in this paper, we describe the assignment of weight values to agents interaction in two different MAS architectures for Context Aware problems solving different scenarios inspired in FIPA standard negotiation protocols.
Description
Keywords
Multi-agent, Context Aware, Ubiquitous Computing, Ambient intelligence, Location
Bibliographic citation
Expert Systems with Applications, (2012), 39 (12), 10656–10673
Collections
DI - GIAA - Artículos de Revistas