A Distributed Architecture for Symbolic Data Fusion
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2153-2157.
Abstract
This paper presents a distributed knowledge representation and data fusion system designed for highly integrated Ambient Intelligence applications. The architecture, based on the idea of an ecosystem of interacting artificial entities, is a framework for collaborating agents to perform an intelligent multi-sensor data fusion. In particular, we focus on the cognitive layers leading the overall data acquisition process. The approach has been thoroughly tested in simulation, and part of it has been already exploited in successful applications.
@inproceedings{ijcai2007p347,
title = {A Distributed Architecture for Symbolic Data Fusion},
author = {Mastrogiovanni, Fulvio and Sgorbissa, Antonio and Zaccaria, Renato},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2153--2157},
year = {2007},
url = {https://ijcai.org/proceedings/2007/347},
}
TY - CPAPER TI - A Distributed Architecture for Symbolic Data Fusion AU - Mastrogiovanni, Fulvio AU - Sgorbissa, Antonio AU - Zaccaria, Renato T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2153 EP - 2157 UR - https://ijcai.org/proceedings/2007/347 ER -Copied
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