Evidence map›Paper›PMID 35813852›Full record

ArticleFrontiers in robotics and AI2022

A Meta-Agent Based Approach to Exploit the Collective Product of Mobile Cyber-Physical Collectives.

Afra Khenifar, Jean-Paul Jamont, Michel Occello, Choukri-Bey Ben-Yelles, Mouloud Koudil

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Afra KhenifarLMCS Laboratory, École Nationale Supérieure D'Informatique (ESI), Algiers, Algeria.
Jean-Paul JamontInstitute of Engineering, University Grenoble Alpes, Valence, France.
Michel OccelloInstitute of Engineering, University Grenoble Alpes, Valence, France.
Choukri-Bey Ben-YellesInstitute of Engineering, University Grenoble Alpes, Valence, France.
Mouloud KoudilLMCS Laboratory, École Nationale Supérieure D'Informatique (ESI), Algiers, Algeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A cyber-physical system (CPS) is a system with integrated computational and physical abilities. Deriving the notion of cyber-physical collective (CPC) from a social view of CPS, we consider the nodes of a CPS as individuals (agents) that interact to overcome their limits in the collective. When CPC agents are able to move in their environment, the CPC is considered as a Mobile CPC (MCPC). The interactions of the agents give rise to the appearance of a phenomenon collectively generated by the agents of the CPC that we call a collective product. This phenomenon is not recorded as "a whole" in the CPC because an agent has only a partial view of its environment. This paper presents COPE (COllective Product Exploitation), an approach that allows one MCPC to exploit the collective product of another one. The approach is based on the deployment of meta-agents in both systems. A meta-agent is an agent that is external to a MCPC but is associated with one of its agents. Each meta-agent is able to monitor the agent with which it is associated and can fake its perceptions to influence its behavior. The meta-agents deployed in the system from which the collective product emerges provide indicators related to this product. Utilizing these indicators, the meta-agents deployed in the other system can act on the agents in order to adapt the global dynamics of the whole system. The proposed coupling approach is evaluated in a "fire detection and control" use case. It allows a system of UAVs to use the collective product of a network of sensors to monitor the fire.

Indexed as

collective productexploitation of emergentinteroperabilitymulti-agent systemsphenomenonUnmanned Aerial Vehicle systemWireless Sensor Network

Identifiers

PMID35813852
PMCPMC9263296

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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.