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What is LEADSTO

Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives
a specification language that can be used to formally describe simulation models in a declarative manner, combining numerical and logical statements.
Published in Chapter:
Incorporating Human Aspects in Ambient Intelligence and Smart Environments
Tibor Bosse (Vrije Universiteit Amsterdam, The Netherlands), Mark Hoogendoorn (Vrije Universiteit Amsterdam, The Netherlands), Michel Klein (Vrije Universiteit Amsterdam, The Netherlands), Rianne van Lambalgen (Vrije Universiteit Amsterdam, The Netherlands), Peter-Paul van Maanen (Vrije Universiteit Amsterdam, The Netherlands), and Jan Treur (Vrije Universiteit Amsterdam, The Netherlands)
DOI: 10.4018/978-1-61692-857-5.ch008
Abstract
In this chapter, we propose to outline the scientific area that addresses Ambient Intelligence applications in which not only sensor data, but also knowledge from the human-directed sciences such as biomedical science, neuroscience, and psychological and social sciences is incorporated. This knowledge enables the environment to perform more in-depth, human-like analyses of the functioning of the observed humans, and to come up with better informed actions. A structured approach to embed human knowledge in Ambient Intelligence applications is presented an illustrated using two examples, one on automated visual attention manipulation, and another on the assessment of the behaviour of a car driver.
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