Agent Oriented AmI Engineering

Ali, Raian; Abdel-Naby, Sameh; Maña, Antonio; Muñoz, Antonio; Giorgini, Paolo

doi:10.1007/978-2-287-78544-3_16

Cited by 2 publications

(2 citation statements)

References 32 publications

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“…Summarizing the information ([10] [11], MIT cited in [12]- [14]), the current research indicates that the idea behind AmI refers to the set of interconnecting devices working together in the intelligent way. AmI can serve humans' tasks of "putting a technology on people's services and for their benefits" [13].…”

Section: Overview Of the Existing Ami And Se Related Developmentsmentioning

confidence: 99%

Models, AmI-Creator and A-Methodology for Ambient Intelligence Environments

Chambers¹

2014

JSEA

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The current paper introduces an approach to a development of Ambient Intelligence domainbased software systems from scratch. The presented approach is based on models. The paper also presents the domain-related models expressing different levels of abstractions and stages of the development. The approach refers to a Model-Driven Development of Ambient Intelligence which was suggested at AmI-07-Ambient Intelligence conference. The approach is presented as a standard with its feasible realization. It starts from modeling of a content of the future AmI-dedicated software system and concludes by mapping the graphical concepts into a final code. A process proving feasibility and correctness of the approach is provided through a dedicated research methodology. Its process comprises an identification of needs in a speedy development of the systems. It is followed by studying of the currently available techniques capable of supporting the development and an experimenting with them. It continues by finding a solution, verified by its validation and concludes by an identification of the further perspectives. The developed approach presents a common way of a communication amongst stakeholders participating in creating of AmI-based environments. Such communication involves the notations of AmI-Creator-a DomainSpecific Language of Ambient Intelligence domain. Every part of DSL corresponds to a demonstration of A-methodology expressing a step-by-step guidance for the development. The methodology comprises two parts dedicated to providing semantics for DSL through studying of Ambient Intelligence domain ontology; and development of actual environments. A validity of the working proposition is confirmed by three examples. The further challenges refer to an extension of the presented work by other frameworks and expansion to a development of different domains with complex organizations.

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Section: Overview Of the Existing Ami And Se Related Developmentsmentioning

confidence: 99%

Models, AmI-Creator and A-Methodology for Ambient Intelligence Environments

Chambers¹

2014

JSEA

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“…One existing solution for modeling the complex interactions occurring between independent but interoperable entities within an intelligent environment is to implement the so-called Intelligent Agent paradigm [ 3 ], whose features make it particularly appropriate for intelligent management of autonomous, proactive devices and entities able to communicate, interact and coordinate with each other [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Meeting People’s Needs in a Fully Interoperable Domotic Environment

Miori

Russo

Concordia

2012

Sensors

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The key idea underlying many Ambient Intelligence (AmI) projects and applications is context awareness, which is based mainly on their capacity to identify users and their locations. The actual computing capacity should remain in the background, in the periphery of our awareness, and should only move to the center if and when necessary. Computing thus becomes ‘invisible’, as it is embedded in the environment and everyday objects. The research project described herein aims to realize an Ambient Intelligence-based environment able to improve users' quality of life by learning their habits and anticipating their needs. This environment is part of an adaptive, context-aware framework designed to make today's incompatible heterogeneous domotic systems fully interoperable, not only for connecting sensors and actuators, but for providing comprehensive connections of devices to users. The solution is a middleware architecture based on open and widely recognized standards capable of abstracting the peculiarities of underlying heterogeneous technologies and enabling them to co-exist and interwork, without however eliminating their differences. At the highest level of this infrastructure, the Ambient Intelligence framework, integrated with the domotic sensors, can enable the system to recognize any unusual or dangerous situations and anticipate health problems or special user needs in a technological living environment, such as a house or a public space.

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Agent Oriented AmI Engineering

Cited by 2 publications

References 32 publications

Models, AmI-Creator and A-Methodology for Ambient Intelligence Environments

Models, AmI-Creator and A-Methodology for Ambient Intelligence Environments

Meeting People’s Needs in a Fully Interoperable Domotic Environment

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