A Multi-Agent System for Service Provisioning in an Internet-of-Things Smart Space Based on User Preferences.

Katarina Mandaric, Ana Keselj Dilberovic, Gordan Jezic

Open access · goldAbstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

2.1field-weighted citation impact, top 13% of its field

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

Real-Time Detection of IoT Anomalies and Intrusion Data in Smart Cities Using Multi-Agent System.Sensors (Basel, Switzerland) · 2024
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Katarina MandaricFaculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia.ORCID 0000-0002-6773-9374

Ana Keselj DilberovicDepartment of Electrical Engineering and Computing, University of Dubrovnik, 20000 Dubrovnik, Croatia.ORCID 0000-0002-8330-029X

Gordan JezicFaculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia.

University of Zagreb · HRUniversity of Dubrovnik · HR

Funding

Croatian Science Foundation IP-2019-04-1986

6 · The paper itself

Abstract

The integration of the Internet of Things (IoT) and artificial intelligence (AI) is critical to the advancement of ambient intelligence (AmI), as it enables systems to understand contextual information and react accordingly. While many solutions focus on user-centric services that provide enhanced comfort and support, few expand on scenarios in which multiple users are present simultaneously, leaving a significant gap in service provisioning. To address this problem, this paper presents a multi-agent system in which software agents, aware of context, advocate for their users' preferences and negotiate service settings to achieve solutions that satisfy everyone, taking into account users' flexibility. The proposed negotiation algorithm is illustrated through a smart lighting use case, and the results are analyzed in terms of the concrete preferences defined by the user and the selected settings resulting from the negotiation in regard to user flexibility.

Indexed as

ambient intelligenceCognitive Internet of Thingscontext awarenessintelligent agentsInternet of Thingsmulti-agent systemnegotiationuser-centric systemuser preferences

Identifiers

PMID38544027

DOI10.3390/s24061764

PMCPMC10975279

OpenAlexW4392584359

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.