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Ceranowicz, A., Nielsen, P.E., Koss, F. “Behavioral Representation in JSAF”. Proceedings of Ninth Annual Computer Generated Forces and Behavior Representation Conference (2000). Orlando, FL.

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Article

Developing Pervasive and Adaptive Applications with MAADE

1Department of Information Engineering, University of Parma, Italy

2Michele Tomaiuolo


Journal of Computer Sciences and Applications. 2013, Vol. 1 No. 1, 5-13
DOI: 10.12691/jcsa-1-1-2
Copyright © 2013 Science and Education Publishing

Cite this paper:
Enrico Franchi, Agostino Poggi, Michele Tomaiuolo. Developing Pervasive and Adaptive Applications with MAADE. Journal of Computer Sciences and Applications. 2013; 1(1):5-13. doi: 10.12691/jcsa-1-1-2.

Correspondence to: Agostino Poggi, Department of Information Engineering, University of Parma, Italy. Email: michele.tomaiuolo@unipr.it

Abstract

Pervasive computing is one of the most active research fields because it promises the creation of environments where computing and communication devices are effectively integrated with users so that applications can provide largely invisible support for tasks performed by users. This paper presents an environment for software development, called MAADE (Multi Adaptive Agent Development Environment), and aimed at the implementation of multi-agent systems for pervasive and adaptive applications using both: (i) agents and multi-agent systems properties and (ii) composition filters for driving and dynamically adapting the behaviour of the system. MAADE allows the realization of both intentional and reactive agents, which live in an environment constituted by passive objects exposing their features in the form of available services. Thanks to its modular nature, the framework is proving particularly effective for allowing graduate students to experiment with different models and protocols used in Distributed Systems. Moreover, it is being used for the realization of prototypal applications, including an ubiquitous social networking platform, with dynamical location and proximity groups.

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