Towards a model for ubiquitous and mobile computing

The current technological trend depicts a scenario in which space and movement represent aspects that should be considered as first class concepts. Models and conceptualizations are necessary to understand and design ubiquitous systems that are context-aware not just from a technological point of view. The aim of this paper is propose the multilayered multi agent situated system (MMASS) model (which provides an interaction model that is strongly dependant on the spatial structure of the environment) as a conceptual architecture for ubiquitous computing applications. The main contribution of this modelling approach to this domain is to provide a conceptual tool that allows to manage space as a first class concept and to consider in a uniform way both physical and logical spaces. After a brief presentation of the MMASS model, a sample application domain will illustrate how the model can be adopted to specify different aspects that are involved in a ubiquitous system.

[1]  Hyacinth S. Nwana,et al.  2 Multi-Agent Systems : Promises and Reality , 1999 .

[2]  David J. Maguire,et al.  Geographical Information Systems , 1993 .

[3]  Nicholas R. Jennings,et al.  The Gaia Methodology for Agent-Oriented Analysis and Design , 2000, Autonomous Agents and Multi-Agent Systems.

[4]  Franco Zambonelli,et al.  Signs of a Revolution in Computer Science and Software Engineering , 2002, ESAW.

[5]  Diego Ponte,et al.  Engineering Societies in the Agents World III , 2003, Lecture Notes in Computer Science.

[6]  Donal Heffernan,et al.  Expanding Automotive Electronic Systems , 2002, Computer.

[7]  Stefania Bandini,et al.  A language for situated multi-agents systems , 2001 .

[8]  Alberto RibesAbstract,et al.  Multi agent systems , 2019, Proceedings of the 2005 International Conference on Active Media Technology, 2005. (AMT 2005)..

[9]  Stefania Bandini,et al.  Dealing with space in multi--agent systems: a model for situated MAS , 2002, AAMAS '02.

[10]  B. Gabelgaard,et al.  The (GSM) HLR-advantages and challenges , 1994, Proceedings of 1994 3rd IEEE International Conference on Universal Personal Communications.

[11]  Stefania Bandini,et al.  Knowledge-based alarm correlation in traffic monitoring and control , 2002, Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems.

[12]  Franco Zambonelli,et al.  A physically grounded approach to coordinate movements in a team , 2002, Proceedings 22nd International Conference on Distributed Computing Systems Workshops.

[13]  Stefania Bandini,et al.  L*MASS: A Language for Situated Multi-agent Systems , 2001, AI*IA.

[14]  Michael R. Genesereth,et al.  Software agents , 1994, CACM.