Current trends in the AI’s evolution are going towards enriching environments with intelligence in order to supporthumans in their everyday life. AmI systems are plunged in the real world and humans expect to interact with them in a way that issimilar to the one they have with other humans. In this kind of systems, where eliciting requirements involves several documentsand stakeholders (mainly users that will be the first consumers of the system), the requirement analysis phase can be affectedby incomplete, ambiguous and imprecise information. Hence, the need to find a fruitful way for knowledge management and itsrepresentation at design time. In this paper we propose a set of abstractions to be used during the early requirements analysisof AmI systems development. The result is a simple and at the same time powerful set of concepts and guidelines for providingenvironment knowledge representation for AmI systems.
|Numero di pagine||16|
|Rivista||JOURNAL OF INTELLIGENT & FUZZY SYSTEMS|
|Stato di pubblicazione||Published - 2014|
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Artificial Intelligence