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Methodological design and comparative evaluation of a MAS providing AmI
Authors:Verónica Venturini  Javier Carbo  José Manuel Molina
Affiliation:1. Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT 59717, USA;2. Mass Spectrometry, Proteomics and Metabolomics Core Facility, Montana State University, Bozeman, MT 59717, USA;3. Thermal Biology Institute, Montana State University, Bozeman, MT 59717, USA;1. Division Measure, Model & Manage Bioresponses (M3-BIORES), Department of Biosystems, KU Leuven, Leuven, Belgium B-3001;2. School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0150;3. Department of Surgery, University of Chicago Medicine, Chicago, IL 60637;4. Department of Surgery, University of Pittsburgh, Pittsburgh, PA 15213;5. Center for Inflammation and Regenerative Modeling, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219;1. Department of Anesthesiology and Neuroscience, LSU Health Sciences Center in Shreveport, Shreveport, LA 71130, United States;2. Department of Pharmacology, Toxicology & Neuroscience, LSU Health Sciences Center in Shreveport , Shreveport, LA 71130, United States
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.
Keywords:
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