Reasoning and revision in hybrid representation systems
Reasoning and revision in hybrid representation systems
A cognitive architecture for artificial vision
Artificial Intelligence
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Artificial Intelligence
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
Wireless Sensor Networks: An Information Processing Approach
Wireless Sensor Networks: An Information Processing Approach
Proceedings of the 3rd international conference on Embedded networked sensor systems
Using buddies to live longer in a boring world
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
VigilNet: An integrated sensor network system for energy-efficient surveillance
ACM Transactions on Sensor Networks (TOSN)
A Projection Pursuit Algorithm for Exploratory Data Analysis
IEEE Transactions on Computers
IEEE Communications Magazine
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This paper presents a new cognitive architecture for extracting meaningful, high-level information from the environment, starting from the raw data collected by a Wireless Sensor Network. The proposed framework is capable of building rich internal representation of the sensed environment by means of intelligent data processing and correlation. Furthermore, our approach aims at integrating the connectionist, data-driven model with the symbolic one, that uses a high-level knowledge about the domain to drive the environment interpretation. To this aim, the framework exploits the notion of conceptual spaces, adopting a conceptual layer between the subsymbolic one, that processes sensory data, and the symbolic one, that describes the environment by means of a high level language; this intermediate layer plays the key role of anchoring the upper layer symbols. In order to highlight the characteristics of the proposed framework, we also describe a sample application, aiming at monitoring a forest through a Wireless Sensor Network, in order to timely detect the presence of fire.