Proactive Assistance in Ecologies of Physically Embedded Intelligent Systems: A Constraint-Based Approach

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Author(s): Marcello Cirillo (Örebro University, Sweden), Federico Pecora (Örebro University, Sweden)and Alessandro Saffiotti (Örebro University, Sweden)
Copyright: 2011
Pages: 24
Source title: Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives
Source Author(s)/Editor(s): Nak-Young Chong (Japan Advanced Institute of Science and Technology, Japan)and Fulvio Mastrogiovanni (University of Genova, Italy)
DOI: 10.4018/978-1-61692-857-5.ch025

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference

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Abstract

The main goal of this Chapter is to introduce SAM, an integrated architecture for concurrent activity recognition, planning and execution. SAM provides a general framework to define how an intelligent environment can assess contextual information from sensory data. The architecture builds upon a temporal reasoning framework operating in closed-loop between physical sensing and actuation components in a smart environments. The capabilities of the system as well as possible examples of its use are discussed in the context of the PEIS-Home, a smart environment integrated with robotic components.

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Proactive Assistance in Ecologies of Physically Embedded Intelligent Systems: A Constraint-Based Approach

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