This glossary of artificial intelligence is a list of definitions of terms and concepts relevant to the study of artificial intelligence (AI), its subdisciplines, and related fields. Related glossaries include Glossary of computer science, Glossary of robotics, Glossary of machine vision, and Glossary of logic.
A
Electronic environments that are sensitive and responsive to the presence of people. The concept was pioneered by Philips Research in the early 2000s as a vision for a post-PC era in which computing power would be embedded invisibly into everyday objects and spaces. An AmI environment continuously senses its surroundings, recognises the individuals within it, and adapts its behaviour to their needs, habits, and preferences â without requiring explicit interaction.
Key characteristics of ambient intelligence systems include being embedded (technology woven into the environment rather than foregrounded), context-aware (able to recognise situations and people), personalised (tailored to individual users), adaptive (capable of learning and changing behaviour over time), and anticipatory (proactively responding to needs without conscious instruction).
AmI draws on and overlaps with related fields including ubiquitous computing, pervasive computing, the Internet of Things (IoT), and affective computing. Practical applications include smart home systems, intelligent transport, assisted-living technologies for elderly or disabled users, and responsive public spaces.
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