2016•Unpublished venueRequires access

Context-aware planning for intelligent environments

Houda Haiouni, Ramdane Maamri

Open publisher page 2 citations

Abstract

Ambient Intelligence environments are populated with embedded distributed devices interacting in proactively and in transparent manner to achieve user's needs. Context and context awareness is crucial for any AmI based systems. To develop context-aware Ambient Intelligence systems, suitable context models, and reasoning approaches are necessary to provide users with smart services. This paper advocates the use of multi-agent planning for Ami environments. We propose an approach to cope with the challenges represented by reasoning over a richer collection and dynamic contextual information.

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What this paper is about

Ambient Intelligence environments are populated with embedded distributed devices interacting in proactively and in transparent manner to achieve user's needs. Context and context awareness is crucial for any AmI based systems. To develop context-aware Ambient Intelligence systems, suitable context models, and reasoning approaches are necessary to provide users with smart services. This paper advocates the use of multi-agent planning for Ami environments. We propose an approach to cope with the challenges represented by reasoning over a richer collection and dynamic contextual information.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Ambient Intelligence environments are populated with embedded distributed devices interacting in proactively and in transparent manner to achieve user's needs. Context and context awareness is crucial for any AmI based systems. To develop context-aware Ambient Intelligence systems, suitable context models, and reasoning approaches are necessary to provide users with smart services. This paper advocates the use of multi-agent planning for Ami environments. We propose an approach to cope with the challenges represented by reasoning over a richer collection and dynamic contextual information.

Key concepts: Ambient intelligence, Computer science, Context (archaeology), Context awareness, Human–computer interaction, Ubiquitous computing, Context model, Data science

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