THE MANAGEMENT PROCESS OF ORGANIZATIONS ADOPTING MULTI-AGENT SYSTEMS THAT SUSTAIN THE ACCELERATION OF DISTRIBUTED NEURAL NETWORKS AT SCALE

Aurel Mihail Titu and Alexandru Stanciu

Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, 2020, vol. 14, issue 1, 131-144

Abstract: The paper intends to investigate the management process for adopting multi-agent systems and their impact on a data-driven organization. While enabling distributed artificial intelligence to process data, today's organizations gain additional knowledge over insights provided by artificial neural networks present through multi-agent systems. Distributed neural networks revolutionize the decision-making, prediction ability, and real-time reactivity systems of the mobility and industrial landscape of present times. Contributions and conclusions emerge from leveraging impact and observations from various use cases, and critical aspects regarding the management process are revealed and highlighted. The purpose is to uncover technological, legal, ethical, and social aspects and stimulate the adoption of distributed artificial intelligence through the joint development of machine learning through multi-agent systems.

Keywords: : distributed artificial intelligence; multi-agent systems; machine learning; artificial neural networks (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://conferinta.management.ase.ro/archives/2020/PDF/1_11.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rom:mancon:v:14:y:2020:i:1:p:131-144

Access Statistics for this article

Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE is currently edited by Ciocoiu Nadia Carmen

More articles in Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE from Faculty of Management, Academy of Economic Studies, Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Ciocoiu Nadia Carmen ().