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Article type: Research Article
Authors: De la Prieta, Fernando | Rodríguez, Sara | Corchado, Juan M. | Bajo, Javier
Affiliations: Computers and Automation Control Department, Faculty of Science, University of Salamanca, Plaza de la Merced S/N, Salamanca, Spain | Artificial Intelligent Department, Faculty of Computer Science, Technical University of Salamanca, Boadilla del Monte, Madrid, Spain
Note: [] Corresponding author. Fernando De la Prieta, Computers and Automation Control Department, Faculty of Science, University of Salamanca, Plaza de la Merced S/N, 37008 Salamanca, Spain. Tel.: +34 923 294 400/Ext. 1525; Fax: +34 923 294 514; E-mail: [email protected]
Abstract: Nowadays there is a clear trend towards using methods and tools that can help the development of Simulation Systems. In this regard, Multiagent System (MAS) is a key technology that allows simulating user behavior. When the user is the focus of the simulation, Ambient Intelligent (AmI) increases in importance. AmI is an emerging multidisciplinary area based on ubiquitous computing that aims to adapt the environment to the needs of the user. Moreover, Cloud Computing is revolutionizing the services provided through the Internet, continually adapting itself in order to maintain the quality of its services. This study presents a multiagent based middleware for the simulation of agent behavior in cloud environments, and uses this information to adapt to the environment as AmI proposed. The main challenge of this work is the design and development of a new middleware that makes possible the communication between the technology in charge of the development of MAS and the technology in charge of the simulation, visualization and analysis of the behavior of the agents using the potential of cloud computing. The platform makes the computation and communication possible by following the principles proposed by AmI.
Keywords: Multiagent systems, simulation, agent based simulation, cloud computing, distributed systems
DOI: 10.3233/IFS-141219
Journal: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 29-41, 2015
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