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Expert environments: machine intelligence methods for ambient intelligence
Author(s) -
Remagnino Paolo,
Prati Andrea,
Foresti Gian Luca,
Cucchiara Rita
Publication year - 2007
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.2007.00434.x
Subject(s) - ambient intelligence , computer science , ubiquitous computing , context (archaeology) , intelligent environment , human intelligence , middleware (distributed applications) , smart environment , world wide web , human–computer interaction , artificial intelligence , data science , internet of things , paleontology , distributed computing , biology , embedded system
Ambient Intelligence (AmI) has been recognised in Europe as one of the key concepts related to Information Society. AmI is a multidisciplinary paradigm spanning across many disciplines, such as machine intelligence, vision and learning, human-computer interaction, middleware and process coordination in distributes systems design and experimental psychology. The AmI paradigm promotes the development of intelligent public and private spaces for the well-being of the generic user, by providing a springboard for the design and implementation of algorithms able to interpret, preempt, aid and take care of the generic user. Machine Intelligence methods are necessary to develop expert environments capable of interpreting and aiding the generic user This special issue will focus on Machine Intelligence research to interpret complex and multi-modal sensory information, to fuse information and generate knowledge bases and generate dynamic plans for an optimal understanding of the user behaviours, intentions and desires.