Multi-agent System (MAS) Applications in Ambient Intelligence (AmI) Environments

Abstract

Abstract. Research in context-aware systems has been moving towards reusable and adaptable architectures for managing more advanced human-computer interfaces. Ambient. Intelligence (AmI) investigates computer-based services, which are ubiquitous and based on a variety of objects and devices. Their intelligent and intuitive interfaces act as mediators through which people can interact with the ambient environment. In this paper we present an agent-based architecture which supports the execution of agents in AmI environments. Two case studies are also presented, an airport information system and a railway information system, which uses spoken conversational agents to respond to the user's requests using the contextual information that includes the location information of the user.

A scoping review on the use, processing and fusion of geographic data in virtual assistants

“…Papers in the first group broadly acknowledge recommendation (Acer, Van Den Broeck, & Kawsar, 2019; Agarwal, Khan, & Sarikaya, 2017; Anelli, Di Noia, Di Sciascio, & Ragone, 2019; Atreja et al, 2018; Reis, Liberato, Paredes, Martins, & Barroso, 2019; Ronzhin et al, 2019; Sánchez‐Pi, Mangina, Carbó, & Molina, 2010; Sardella, Biancalana, Micarelli, & Sansonetti, 2019) as a critical use case in which virtual assistants are valuable (8/27, 30%). Again, user positioning is used for recommendation activities such as searching for nearby restaurants (Sardella et al, 2019), local information (Acer et al, 2019), business (Agarwal et al, 2017), as well as recommending contextualized services depending on where a traveler is in an indoor space (e.g.…”

“…Again, user positioning is used for recommendation activities such as searching for nearby restaurants (Sardella et al, 2019), local information (Acer et al, 2019), business (Agarwal et al, 2017), as well as recommending contextualized services depending on where a traveler is in an indoor space (e.g. airports; see Sánchez‐Pi et al, 2010). Other scenarios are, for instance, virtual libraries to recommend resources based on how close (geographically) they are (Anelli et al, 2019), summarization (Reis et al, 2019), and citizen support for civic problems in urban contexts (Atreja et al, 2018).…”