Ambient Intelligence: Second European Symposium, EUSAI 2004, by Jürgen Bohn, Friedemann Mattern (auth.), Panos Markopoulos,

By Jürgen Bohn, Friedemann Mattern (auth.), Panos Markopoulos, Berry Eggen, Emile Aarts, James L. Crowley (eds.)

This quantity of the LNCS is the formal court cases of the 2d ecu Symposium on Ambient Intelligence, EUSAI 2004. This occasion was once hung on November 8–10, 2004 on the Eindhoven collage of expertise, in Eindhoven, the Netherlands. EUSAI 2004 a profitable first occasion in 2003, equipped by means of Philips study. This became out to be a well timed initiative that created a discussion board for bringing jointly ecu researchers, engaged on various disciplines all contributing in the direction of the human-centric technological imaginative and prescient of ambient intelligence. in comparison to meetings engaged on related and overlapping fields, the 1st EUSAI was once characterised by means of a robust commercial concentration mirrored within the application committee and the content material of this system. As application chairs of EUSAI 2004 we attempted to maintain the nature for this occasion and its mixed concentrate on the 4 significant thematic parts: ubiquitous computing, context wisdom, intelligence, and common interplay. additional, we attempted to make EUSAI 2004 develop right into a full-fledged double-track convention, with surrounding occasions like tutorials and really good workshops, a poster and demonstration exhibition and a scholar layout festival. The convention application integrated 3 invited keynotes, Ted Selker from MIT, Tom Rodden from the collage of Nottingham and Tom Erickson from IBM.

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Extra resources for Ambient Intelligence: Second European Symposium, EUSAI 2004, Eindhoven, The Netherlands, November 8-11, 2004. Proceedings

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2 Mbps throughput. Because of the importance of the agent size in the performance of migration policies, we have analysed the performance of these policies for different values of agent code size. Figure 3 illustrates how the network load and response time of sequence vary when the reply size varies between 0 and 2 MB, and the agent size varies between 0 and 100 KB. 5. As we can see in Figures 3, when agent size is smaller than reply size, policy four is the best policy. On the other hand, when reply size is smaller than agent size, policy one outperforms the other three.

Kameas Related Work Since the artifacts can be perceived as agents that communicate and collaborate, our work is closely related to the field of agent communities. It is widely acknowledged that without some shared or common knowledge the members of a multi-agent system have little hope of effective communication. The solution that we propose is based on the idea that all artifacts have a common ontology, the GAS-CO, and each artifact have also a different, “private” ontology, the GAS-HO that is based on the GAS-CO.

As an example response time can be measured for sending a message from Agent 1 to Agent 2, both running on the same computer, and receiving the reply back via the router running on another computer with dial-up connection to the first computer. A faster type of connection can be emulated by applying a Local Area Network for sending and receiving messages from the router to the agents. Response time is measured for different message sizes. Having these experimental results for single interactions, such as the interaction in the or sequence, with different message sizes, we can replace mathematical equations in our performance model by experimental results.

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