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Improving Smart Environments with Knowledge Ecosystems

Identifieur interne : 005856 ( Istex/Corpus ); précédent : 005855; suivant : 005857

Improving Smart Environments with Knowledge Ecosystems

Auteurs : Fulvio Mastrogiovanni ; Antonio Sgorbissa ; Renato Zaccaria

Source :

RBID : ISTEX:D6F215D019E56A0BD81DA6E9DCCED1953B0FE7D9

Abstract

Abstract: This paper presents a distributed cognitive architecture suitable for Ambient Intelligence applications. The key idea is to model an intelligent space as an ecosystem composed by artificial entities which collaborate with each other to perform an intelligent multi-sensor data fusion of both numerical and symbolic information. The semantics associated with the knowledge representation can be used to aid intelligent systems or human supervisors to take decisions according to situations and events occurring within the intelligent space. Experimental results are presented showing how this approach has been successfully applied to smart environments for elderly and disabled.

Url:
DOI: 10.1007/978-3-540-74829-8_82

Links to Exploration step

ISTEX:D6F215D019E56A0BD81DA6E9DCCED1953B0FE7D9

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<Para>This paper presents a distributed cognitive architecture suitable for Ambient Intelligence applications. The key idea is to model an intelligent space as an ecosystem composed by artificial entities which collaborate with each other to perform an intelligent multi-sensor data fusion of both numerical and symbolic information. The semantics associated with the knowledge representation can be used to aid intelligent systems or human supervisors to take decisions according to situations and events occurring within the intelligent space. Experimental results are presented showing how this approach has been successfully applied to smart environments for elderly and disabled.</Para>
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<abstract lang="en">Abstract: This paper presents a distributed cognitive architecture suitable for Ambient Intelligence applications. The key idea is to model an intelligent space as an ecosystem composed by artificial entities which collaborate with each other to perform an intelligent multi-sensor data fusion of both numerical and symbolic information. The semantics associated with the knowledge representation can be used to aid intelligent systems or human supervisors to take decisions according to situations and events occurring within the intelligent space. Experimental results are presented showing how this approach has been successfully applied to smart environments for elderly and disabled.</abstract>
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