Hybrid Computational Intelligence for Ambient Intelligent Environments

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Article 01 Jan 2005 Netherlands, Italy Publisher:Springer Berlin Heidelberg

Authors: ACAMPORA G; LOIA V; NAPPI M.; RICCIARDI, STEFANO;

doi: 10.1007/11495772_5

handle: 11588/694355 , 11386/1066795 , 11695/59667

Hybrid Computational Intelligence for Ambient Intelligent Environments

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Abstract

This paper describes an agent-based ambient intelligence architecture able to deliver personalized services on the basis of physical and emotional user status captured from a set of biometric features. Abstract representation and management is achieved thanks to two markup languages, H2ML and FML, able to model behavioral as well as fuzzy control activities and to exploit distribution and concurrent computation in order to gain real-time performances.

Countries

Netherlands, Italy

Related Organizations

Technical University Eindhoven
Netherlands
Università degli studi di Salerno
Italy
University Federico II of Naples
Italy
University of Molise
Italy

Keywords

Computer programming languages, Artificial intelligence, Information analysis, Abstract representation, Biometric features, Intelligence architectures, Fuzzy control, Computer programming languages; Fuzzy control; Information analysis; Numerical analysis, Abstract representation; Biometric features; Concurrent computations; Intelligence architectures, Artificial intelligence, Concurrent computations, Numerical analysis

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