Supporting software agents on small devices
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
LEAP: A FIPA Platform for Handheld and Mobile Devices
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
SWSTE '05 Proceedings of the IEEE International Conference on Software - Science, Technology & Engineering
AmbieAgents: a scalable infrastructure for mobile and context-aware information services
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Adaptive, intelligent presentation of information for the museum visitor in PEACH
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Easishop: Ambient intelligence assists everyday shopping
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JADE: A software framework for developing multi-agent applications. Lessons learned
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PDCAT '08 Proceedings of the 2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies
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Malaca: A component and aspect-oriented agent architecture
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The independent lifestyle assistant™ (I.L.S.A.): AI lessons learned
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
A review of the applications of agent technology in traffic and transportation systems
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A model driven development of platform-neutral agents
MATES'10 Proceedings of the 8th German conference on Multiagent system technologies
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MATES'10 Proceedings of the 8th German conference on Multiagent system technologies
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WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
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MASPOT: A Mobile Agent System for Sun SPOT
ISADS '11 Proceedings of the 2011 Tenth International Symposium on Autonomous Decentralized Systems
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ACM Computing Surveys (CSUR)
Taking context into account in conceptual models using a Model Driven Engineering approach
Information and Software Technology
Towards the automatic derivation of Malaca agents using MDE
AOSE'10 Proceedings of the 11th international conference on Agent-oriented software engineering
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Engineering Applications of Artificial Intelligence
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ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
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ECMDA-FA'06 Proceedings of the Second European conference on Model Driven Architecture: foundations and Applications
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ProMAS'05 Proceedings of the Third international conference on Programming Multi-Agent Systems
Self-management of ambient intelligence systems: a pure agent-based approach
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
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Ambient intelligence (AmI) systems are now considered a promising approach to assist people in their daily life. AmI proposes the development of context aware systems equipped with devices that can recognize your context and act accordingly. Agents provide an effective way to develop such systems since agents are reactive, proactive and exhibit an intelligent and autonomous behavior. However, current agent approaches do not adequately fulfill the requirements posed by AmI systems. From a modeling point of view, the aim should be to help in the design by providing adequate tools that assist in the development of important properties of AmI systems, such as context-awareness; and from an implementation point of view, agent technologies must be adapted to the diversity of AmI devices and communication technologies. As a solution to these issues we propose a Model driven engineering process, which supports the automatic generation of agent-based AmI systems. The source metamodel is PIM4Agents, a general purpose agent metamodel that we have adapted to support the explicit modeling of context aware systems, and the target metamodel is Malaca, an aspect-oriented agent architecture. Aspect-orientation makes Malaca platform-neutral for FIPA compliant agent platforms, simplifying the model driven process. The solution generates MalacaTiny agents, an implementation of Malaca that is able to run in AmI devices. We have evaluated the convenience of applying a model driven approach by measuring the degree of automation of our process and we have evaluated MalacaTiny for mobile phones by assessing different parameters, related to the scarcity of resources in AmI systems. All the results obtained are satisfactory.