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Article type: Research Article
Authors: Penserini, Loris; ; | Kuflik, Tsvi | Busetta, Paolo | Bresciani, Paolo;
Affiliations: Fondazione Bruno Kessler, FBK-IRST, Via Sommarive 18, 38050 Povo, Trento, Italy. E-mail: elpense@gmail.com | M.I.S. department, Haifa University, Mount Carmel, Haifa, Israel. E-mail: tsvikak@mis.haifa.ac.il | AOS Group, Wellington House, East Road Cambridge CB1 1BH, UK. E-mail: paolo.busetta@gmail.com | Fondazione Bruno Kessler, FBK-IRST, Via Sommarive 18, 38050 Povo, Trento, Italy
Note: [] Corresponding author: (address) Via Falcineto 110-a, 61032 Fano, Italy; (cell)+39 3471443901.
Note: [] Currently seconded at the European Commission in Brussels: Information Society and Media Directorate-General, Future and Emerging Technologies (FET) – Proactive.
Note: [] Currently seconded at the European Commission in Brussels: Information Society and Media Directorate-General, Software and Service Architectures and Infrastructures (D3).
Abstract: In a society where Information and Communication Technology (ICT) becomes a key component to improve the quality of our daily-life, systems' complexity dramatically increases to better accommodate to an inherent complexity of users' requirements, especially when dealing with pervasive computing. This poses demanding architectural requirements such as massive decentralization and disintermediation along with self-organizing properties. This higher level of system complexity has triggered the birth of several software engineering methodologies that adopt the agent paradigm. Design patterns are a well known approach for capturing and reusing knowledge related to known solution for recurrent architectural problems. Even though the importance of patterns is growing as systems become more and more complex, their development does not keep up with the evolving requirements, as traditional agent patterns are unable to support the majority of current complex social scenarios. This work motivates the need for new agent-based organizational structures that are more flexible than traditional agent patterns such as, Broker and Matchmaker. The newly suggested structure supports the dynamic nature of “Active Environment” where groups of agents are formed for service delivery and then dissolved with no central coordinating mechanism—i.e., gaining the disintermediation property. Serving as a case study, the PEACH and PIL projects have paved the way for experimenting with the new agent-based organizational structures that are more flexible and more suitable than traditional agent patterns for coping with ambient intelligence scenarios.
Keywords: Ambient intelligence, organizations of agent societies, agent patterns, AOSE methodologies, service oriented computing
DOI: 10.3233/AIS-2010-0083
Journal: Journal of Ambient Intelligence and Smart Environments, vol. 2, no. 4, pp. 409-433, 2010
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