THE CONCEPT OF AUTONOMOUS SYSTEMS IN INDUSTRY 4.0

2019 ◽  
Vol 12 (1) ◽  
pp. 77-87
Author(s):  
György Kovács ◽  
Rabab Benotsmane ◽  
László Dudás
Keyword(s):  
Industry 4.0 ◽  
Intelligent Systems ◽  
Autonomous Systems ◽  
Essential Element ◽  
Industrial Sector ◽  
Life Cycles ◽  
Multi Agent Systems ◽  
New Paradigm ◽  
Intelligent Machines ◽  
Digital Network

Recent tendencies – such as the life-cycles of products are shorter while consumers require more complex and more unique final products – poses many challenges to the production. The industrial sector is going through a paradigm shift. The traditional centrally controlled production processes will be replaced by decentralized control, which is built on the self-regulating ability of intelligent machines, products and workpieces that communicate with each other continuously. This new paradigm known as Industry 4.0. This conception is the introduction of digital network-linked intelligent systems, in which machines and products will communicate to one another in order to establish smart factories in which self-regulating production will be established. In this article, at first the essence, main goals and basic elements of Industry 4.0 conception is described. After it the autonomous systems are introduced which are based on multi agent systems. These systems include the collaborating robots via artificial intelligence which is an essential element of Industry 4.0.

scholarly journals On the philosophical, cognitive and mathematical foundations of symbiotic autonomous systems

2021 ◽  
Vol 379 (2207) ◽  
pp. 20200362
Author(s):  
Yingxu Wang ◽  
Fakhri Karray ◽  
Sam Kwong ◽  
Konstantinos N. Plataniotis ◽  
Henry Leung ◽  
...  
Keyword(s):  
Intelligent Systems ◽  
Collective Intelligence ◽  
Autonomous Systems ◽  
Basic Research ◽  
Machine Intelligence ◽  
Cognitive Systems ◽  
Intelligent Machines ◽  
Autonomous Machine ◽  
Cognitive Robots ◽  
Mathematical Foundations

Symbiotic autonomous systems (SAS) are advanced intelligent and cognitive systems that exhibit autonomous collective intelligence enabled by coherent symbiosis of human–machine interactions in hybrid societies. Basic research in the emerging field of SAS has triggered advanced general-AI technologies that either function without human intervention or synergize humans and intelligent machines in coherent cognitive systems. This work presents a theoretical framework of SAS underpinned by the latest advances in intelligence, cognition, computer, and system sciences. SAS are characterized by the composition of autonomous and symbiotic systems that adopt bio-brain-social-inspired and heterogeneously synergized structures and autonomous behaviours. This paper explores the cognitive and mathematical foundations of SAS. The challenges to seamless human–machine interactions in a hybrid environment are addressed. SAS-based collective intelligence is explored in order to augment human capability by autonomous machine intelligence towards the next generation of general AI, cognitive computers, and trustworthy mission-critical intelligent systems. Emerging paradigms and engineering applications of SAS are elaborated via autonomous knowledge learning systems that symbiotically work between humans and cognitive robots. This article is part of the theme issue ‘Towards symbiotic autonomous systems'.

scholarly journals Teaching process design for 4.0 industry

2021 ◽  
Vol 25 (111) ◽  
pp. 129-136
Author(s):  
Manuel Osmany Ramirez Pirez ◽  
Franyelit Suarez Carreno ◽  
Erika del Pilar Ascencio Jordan
Keyword(s):  
Engineering Education ◽  
Industry 4.0 ◽  
Intelligent Systems ◽  
Industrial Development ◽  
Professional Training ◽  
New Technologies ◽  
Industrial Sector ◽  
Educación Superior ◽  
Educacion Superior ◽  
Smart Technologies

Considering that the new trends in industrial development are focused on the global vision of software applications, with intelligent systems that seek to provide an effective solution to a myriad of industrial and consequently social problems, this work proposes the development of educational methodologies for the applied teaching processes. to Industry 4.0. Education must transform itself to the new technological paradigms and adapt the new graduation profiles to the global need for intelligent applications that allow the globalization of products, competitiveness and continuous improvement. In this work, an exhaustive bibliographic review is carried out to focus on the best teaching alternatives with a view to Industry 4.0. The results show that educational methodologies must improve the academic approach to strengthen the industrial sector and achieve professional training adapted to new technologies. Keywords: 4.0 industry, teaching methodologies, smart technologies. References [1]J. Carvajal, «La Cuarta Revolución Industrial o Industria 4.0 y su Impacto en la Educación Superior en Ingeniería en Latinoamérica y el Caribe,» de 15th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Global Partnerships for Development and Engineering Education”, Boca ratón, Estados Unidos, 2017. [2]R. Jiménez, D. Magaña and S. Aquino, «GESTIÓN DE TENDENCIAS STEM EN EDUCACION SUPERIOR Y SU IMPACTO EN LA INDUSTRIA 4.0,» Journal ofthe Academy, nº 5, pp. 99-121, 2021. [3]J. Ortiz, A. Carrillo and M. Olguín, «Built education 3.0 since early teacher’s training to face challenges of industry 4.0,» Informes de Investigación, vol. 3, nº 5,pp. 135-146, 2020. [4]M. Jalil, «Industria 4.0, competencia digital y el nuevo Sistema de Formación Profesional para el empleo,» Re vista Internacional y Comparada de RELACIONES LABORALES Y DERECHO DEL EMPLEO, vol. 6, nº 1, pp. 164-194, 2018. [5]G. Garcés and C. Peña, «Ajustar la Educación en Ingeniería a la Industria 4.0: Una visión desde el desarrollo curricular y el laboratorio,» Revista de Estudios y Experiencias en Educación, vol. 19, nº 40, pp. 129-148, 2020. [6]F. M.-L. Rivera, P. Hermosilla, J. Delgadillo and D. Echeverría, «Propuesta de construcción de competencias de innovación en la formación de ingenieros en elcontexto de la industria 4.0 y los objetivos de desarrollo sostenible (ODS),» Propuesta de construcc, vol. 14, nº2, pp. 75-84, 2021. [7]B. Manrique-Losada, M. C. Gómez-Álvarez and L.González-Palacio, «Estrategia de transformación para la formación en informática: hacia el desarrollo de competencias en educación básica y media para la Industria 4.0 en Medellín – Colombia,» RISTI, vol. 39, nº 10, pp. 1-17, 2020. [8]X. Martínez, «Disrupción y aporía: de camino a la educación 4.0,» Innovación educativa, vol. 19, nº 80, pp. 7-12, 2019. [9]VLD Engineering, «¿Qué entendemos por simulación de procesos en ingeniería?,» 2019. [Online]. Available: https://www.vld-eng.com/blog/simulacion-procesos-industriales/. [Last access: September 08, 2021]. [10]Structuralia, «Los ingenieros más demandados en Latam,» 2020. [Online]. Available: https://blog.structuralia.com/los-ingenieros-m%C3%A1s-demandados- en-latam. [Last access: September 08, 2021]. [11]M. Valencia-Cárdenas, S. Morales-Gualdrón and M.Gaviria-Giraldo, «VISIÓN DE LAS COMPETENCIAS DE INGENIERÍAINDUSTRIAL EN INDUSTRIA 4.0,» de 2do Congreso Latinoamericano de Ingeniería, Medellín-Colombia, 2019.

Semantically Enabled Communication Framework for Autonomous Systems

2017 ◽  
Vol 8 (2) ◽  
pp. 54-68 ◽  
Author(s):  
Maruf Pasha
Keyword(s):  
Intelligent Systems ◽  
Autonomous Systems ◽  
Expressive Power ◽  
Software Systems ◽  
Multi Agent Systems ◽  
Communication Framework ◽  
Intelligent Software ◽  
Agent Interaction ◽  
High Assurance ◽  
High Level

Multi-agent systems (MAS) have recently gained much fame and have proved to be a potential technology that enables the construction and development of collaborative intelligent software systems. Development of such autonomous intelligent systems require a high level of communication with enriched semantics that will enable them to be integrated with the Web to achieve the ultimate goal of the Semantic Web in the future. The most important issues in MAS are high-level agent interaction, expressive power of agents, and semantics of messages to collaborate and cooperate with each other in Autonomous Decentralized Systems (ADS). This encoding/decoding mechanism will not only increase the reliability of the system but will also exhibit the properties of ADS that are high assurance. The evaluation proves that the implementation of semantically enriched communication improves performance and efficiency as a whole.

Foundations for Knowledge and Belief Management

2021 ◽  
Vol 17 (3) ◽  
pp. 88-99
Author(s):  
Roderic A. Girle
Keyword(s):  
Intelligent Systems ◽  
Turing Test ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Conceptual Structures ◽  
Interacting Agents ◽  
Questions And Answers ◽  
Multi Agent ◽  
The Difference ◽  
Dialogue Theory

Three foundational principles are introduced: intelligent systems such as those that would pass the Turing test should display multi-agent or interactional intelligence; multi-agent systems should be based on conceptual structures common to all interacting agents, machine and human; and multi-agent systems should have an underlying interactional logic such as dialogue logic. In particular, a multi-agent rather than an orthodox analysis of the key concepts of knowledge and belief is discussed. The contrast that matters is the difference between the different questions and answers about the support for claims to know and claims to believe. A simple multi-agent system based on dialogue theory which provides for such a difference is set out.

Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0

2021 ◽  
Author(s):  
Vikram Bali ◽  
Vishal Bhatnagar ◽  
Deepti Aggarwal ◽  
Shivani Bali ◽  
Mario José Diván
Keyword(s):  
Industry 4.0 ◽  
Autonomous Systems

scholarly journals Agents’ ontologies negotiation in cohesive hybrid intelligent multi-agent systems

2021 ◽  
Vol 2094 (3) ◽  
pp. 032033
Author(s):  
I A Kirikov ◽  
S V Listopad ◽  
A S Luchko
Keyword(s):  
Intelligent Agents ◽  
Intelligent Systems ◽  
Multi Agent Systems ◽  
Labor Costs ◽  
Joint Work ◽  
Working Process ◽  
Agent Systems ◽  
Development Teams ◽  
Multi Agent ◽  
Domain Models

Abstract The paper proposes the model for negotiating intelligent agents’ ontologies in cohesive hybrid intelligent multi-agent systems. Intelligent agent in this study will be called relatively autonomous software entity with developed domain models and goal-setting mechanisms. When such agents have to work together within single hybrid intelligent multi-agent systems to solve some problem, the working process “go wild”, if there are significant differences between the agents’ “points of view” on the domain, goals and rules of joint work. In this regard, in order to reduce labor costs for integrating intelligent agents into a single system, the concept of cohesive hybrid intelligent multi-agent systems was proposed that implement mechanisms for negotiating goals, domain models and building a protocol for solving the problems posed. The presence of these mechanisms is especially important when building intelligent systems from intelligent agents created by various independent development teams.

scholarly journals Review of Electrical Machine Diagnostic Methods Applicability in the Perspective of Industry 4.0

2018 ◽  
Vol 14 (2) ◽  
pp. 108-116 ◽  
Author(s):  
Bilal Asad ◽  
Toomas Vaimann ◽  
Anton Rassõlkin ◽  
Ants Kallaste ◽  
Anouar Belahcen
Keyword(s):  
Industry 4.0 ◽  
Industrial Sector ◽  
Diagnostic Methods ◽  
Electrical Machine ◽  
Machine Condition ◽  
New Horizons ◽  
Machine Condition Monitoring ◽  
Cloud Environments ◽  
The Internet Of Things ◽  
Selection Of

AbstractDigitalization of the industrial sector and Industry 4.0 have opened new horizons in many technical fields, including electrical machine diagnostics and operation, as well as machine condition monitoring. This paper addresses a selection of electrical machine diagnostics methods that are applicable for the use in the perspective of Industry 4.0, to be used in hand with cloud environments and the possibilities granted by the Internet of Things. The need for further research and development in the field is pointed out. Some potentially applicable future approaches are presented.

scholarly journals Responsible Autonomy

2017 ◽  
Author(s):  
Virginia Dignum
Keyword(s):  
Design Process ◽  
Ethical Behavior ◽  
Cultural Context ◽  
Intelligent Systems ◽  
Autonomous Systems ◽  
Research Direction ◽  
Ethical Implications ◽  
Technological Developments

As intelligent systems are increasingly making decisions that directly affect society, perhaps the most important upcoming research direction in AI is to rethink the ethical implications of their actions. Means are needed to integrate moral, societal and legal values with technological developments in AI, both during the design process as well as part of the deliberation algorithms employed by these systems. In this paper, we describe leading ethics theories and propose alternative ways to ensure ethical behavior by artificial systems. Given that ethics are dependent on the socio-cultural context and are often only implicit in deliberation processes, methodologies are needed to elicit the values held by designers and stakeholders, and to make these explicit leading to better understanding and trust on artificial autonomous systems.

A Clustering Approach Based on Cooperative Agents to Improve Decision Support in ERP

2019 ◽  
pp. 1-18
Author(s):  
Nadjib Mesbahi ◽  
Okba Kazar ◽  
Saber Benharzallah ◽  
Merouane Zoubeidi ◽  
Djamil Rezki
Keyword(s):  
Decision Support ◽  
Intelligent Systems ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent System ◽  
Cooperative Agents ◽  
Distributed Problem Solving ◽  
Multi Agent ◽  
Complete Set ◽  
Clustering Approach

Multi-agent systems (MAS) are a powerful technology for the design and implementation of autonomous intelligent systems that can handle distributed problem solving in a complex environment. This technology has played an important role in the development of data mining systems in the last decade, the purpose of which is to promote the extraction of information and knowledge from a large database and to make these systems more scalable. In this chapter, the authors present a clustering system based on cooperative agents through a centralized and common ERP database to improve decision support in ERP systems. To achieve this, they use multi-agent system paradigm to distribute the complexity of k-means algorithm in several autonomous entities called agents, whose goal is to group records or observations on similar objects classes. This will help business decision makers to make good decisions and provide a very good response time by the use of the multi-agent system. To implement the proposed architecture, it is more convenient to use the JADE platform while providing a complete set of services and have agents comply with the specifications FIPA.

Embracing Cybersecurity Risk Management in the Industry of Medical Devices

2018 ◽  
pp. 177-197 ◽  
Author(s):  
Maria Lai-Ling Lam ◽  
Kei Wing Wong
Keyword(s):  
Risk Management ◽  
Local Government ◽  
Medical Device ◽  
Medical Devices ◽  
Industry 4.0 ◽  
Life Cycles ◽  
Shared Responsibility ◽  
Operating Environments ◽  
Set Up ◽  
Industry Needs

The promises of Industry 4.0 in the medical device industry needs to be built on sound cybersecurity infrastructures, polices, and practices. During 2011-2017, the authors interviewed many manufacturers of medical devices in China, Germany, Israel, Japan, Taiwan, and U.S. about their attitude towards cybersecurity. Many manufacturers are not committed to cybersecurity risk management because they pursue lower cost and shorter product life cycles; do not have sufficient knowledge of operating environments of hospitals; have defensive attitude toward vulnerability disclosure; and reap quick benefits from the low-trust level among stakeholders and unequal power between manufacturers and distributors. Only a few large U.S. manufacturers of medical devices have set up robust secure platforms and interoperable optimal standards which benefit the users. As cybersecurity is a shared responsibility, many small and medium-sized enterprises need to be empowered through the support of international organizations and local government policies.

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