scholarly journals Towards developing a cyber-physical multi-agent system for managing precise farms with digital twins of plants

2019 ◽  
pp. 257-261
Author(s):  
Vladimir Laryukhin ◽  
Petr Skobelev ◽  
Oleg Lakhin ◽  
Sergey Grachev ◽  
Vladimir Yalovenko ◽  
...  
Keyword(s):  
A Priori ◽  
Knowledge Bases ◽  
Agent Based ◽  
Plant Soil ◽  
Plant Cultivation ◽  
Technical Requirements ◽  
Digital Twins ◽  
History Of ◽  
Multi Agent ◽  
High Uncertainty

The paper presents the multi-agent approach for developing cyber-physical system for managing precise farms with digital twins of plants. It discusses complexity of the problem caused by a priori incompleteness of knowledge about factors of plant growth and development, high uncertainty of crops cultivation, variety of weather, business and technical requirements, etc. The approach proposes knowledge bases and multi-agent technology in combination with machine learning methods for designing considered systems. Digital twin of plant is specified as an agent based on ontology model of objects relevant for plant cultivation (specific sort of plant, soil, etc) associated with history of operations and environment conditions. The architecture and functions of system components are designed. The expected results of system implementation and the benefits for farmers are discussed.

scholarly journals An approach for leveraging Digital Twins in agent-based production systems

2021 ◽  
Vol 69 (12) ◽  
pp. 1026-1039
Author(s):  
Birgit Vogel-Heuser ◽  
Felix Ocker ◽  
Tobias Scheuer
Keyword(s):  
Production Systems ◽  
Relevant Information ◽  
Knowledge Bases ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent Based ◽  
Agent Systems ◽  
Digital Twins ◽  
Multi Agent ◽  
The Individual

Abstract To cope with individualization and the high costs of downtimes, modern production systems should be flexible, adaptable, and resilient. Multi-Agent Systems are suitable to address these requirements by decentralizing production systems. However, the agent paradigm is still not widely applied. One of the key reasons is that the agents’ knowledge bases had to be created manually, which is cumbersome, error-prone, and insufficiently standardized. Digital Twins have the potential to solve this issue, as they describe relevant information in a standardized way. This paper presents an approach to leveraging Digital Twins, i. e., the Asset Administration Shell, to realize Multi-Agent Systems in the production context. For this, a parser automatically extracts relevant information from the Digital Twins and initializes the individual agents in a Multi-Agent System, i. e., PADE.

scholarly journals Development strategy formation of the Committee on Artificial Intelligence in the Scientific and Educational Center "Engineering of the Future"

2021 ◽  
Vol 11 (3) ◽  
pp. 260-293
Author(s):  
I.I. Barinov ◽  
◽  
N.M. Borgest ◽  
S.Y. Borovik ◽  
O.N. Granichin ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Development Strategy ◽  
Knowledge Bases ◽  
Enterprise Management ◽  
High Tech ◽  
Digital Twins ◽  
Management Processes ◽  
The Future ◽  
Multi Agent ◽  
A Chain

The Scientific and Educational Center "Engineering of the Future", created on the basis of the Institute of Regional Development of the Samara Region, has formed a number of important sectoral and subject committees, in which it is planned to develop breakthrough technologies in high-tech industries. The Committee on Artificial Intelligence, organized within the framework of the SEC "Engineering of the Future", forms its development strategy. The article outlines the vision for the prospects of such a strategy of the project team, consisting of specialists from universities, academia, design organizations, commercial companies and startups. The key in the proposed strategy is emergent artificial intelligence - it is a spontaneously arising, under the influence of external events or from internal causes or motives, a chain of coordinated state changes by agents who find a solution to a new problem or increase the value of an existing solution. The authors believe that the construction of emergent artificial intelligence is based on multi-agent technologies and ontologies of subject areas. The article formulates the main tasks of the Committee for the coming years and presents a technological project. The project includes the creation of mass production of intelligent resource management systems, personalized by creating digital twins of enterprise management processes, knowledge bases and multi-agent technologies. The essence of the proposed project, reflecting the important priorities of industrial partners, is to create a line of intelligent products and services for all stages of the life cycle of complex high-tech products and build a "factory" of such systems in the form of an open instrumental platform that will allow these enterprises to reduce dependence on the solution provider and on their own develop and modernize such systems. The principles of the Committee's work were proposed, its first potential projects and planned cooperation on these projects to achieve the first practical results were considered.

Formalizing and Leveraging Domain Knowledge in the K4CARE Home Care Platform

2011 ◽  
pp. 279-302 ◽  
Author(s):  
Ákos Hajnal ◽  
Antonio Moreno ◽  
Gianfranco Pedone ◽  
David Riaño ◽  
László Zsolt Varga
Keyword(s):  
Health Care ◽  
Knowledge Management ◽  
Home Care ◽  
Domain Knowledge ◽  
A Priori ◽  
Medical Knowledge ◽  
Implicit Knowledge ◽  
Agent Based ◽  
Agent Platform ◽  
Multi Agent

This chapter proposes an agent-based architecture for home care support, whose main capability is to continuously admit and apply new medical knowledge entered into the system, capturing and codifying implicit knowledge deriving from the medical staff. Knowledge is the fundamental catalyst in all application domains, and this is particularly true especially for the medical context. Knowledge formalization, representation, exploitation, creation, and sharing are some of the most complex issues related to Knowledge Management. Moreover, Artificial Intelligence techniques and MAS (Multi-Agent System) in health care are increasingly justifying the large demand for their application, since traditional techniques are often not suitable to manage complex tasks or to adapt to unexpected events. The chapter presents also a methodology for approaching medical knowledge management from its representation symbolism to the implementation details. The codification of health care treatments, as well as the formalization of domain knowledge, serves as an explicit, a priori asset for the agent platform implementation. The system has the capability of applying new, implicit knowledge emerging from physicians.

The Knowledge Base of Products: Implications for Organizational Structures

2010 ◽  
Vol 31 (8) ◽  
pp. 1129-1154 ◽  
Author(s):  
Muge Ozman
Keyword(s):  
Structural Characteristics ◽  
Organizational Structures ◽  
Knowledge Bases ◽  
Two Dimensions ◽  
Product Knowledge ◽  
Agent Based ◽  
History Of ◽  
Knowledge Depth ◽  
The Impact

This paper investigates the impact of two dimensions of product knowledge bases on organizational structures. The first dimension, knowledge breadth, measures the complexity of a product. The second dimension, knowledge depth, measures the extent to which the knowledge embedded in the product can be used in different contexts. An agent-based simulation study is carried out to analyse the structural characteristics of organizations that emerge when self-interested agents select partners to combine their expertise and produce together. Agents learn from their interactions, which shapes their choice of partners in the future. The results reveal that multi-product companies with fewer inter-firm relationships emerge when products are complex and knowledge is highly reusable in different contexts. A network of specialized firms is a dominant organizational structure when products are complex and deep. The results are demonstrated through a brief case study of the history of the computer industry.

A Multi-agent based Micro Grid Operation Method

2013 ◽  
Vol 133 (9) ◽  
pp. 1652-1657 ◽  
Author(s):  
Takeshi Nagata ◽  
Kosuke Kato ◽  
Masahiro Utatani ◽  
Yuji Ueda ◽  
Kazuya Okamoto ◽  
...  
Keyword(s):  
Agent Based ◽  
Operation Method ◽  
Multi Agent ◽  
Micro Grid ◽  
Grid Operation

Mathematical Knowledge and the Interplay of Practices

2015 ◽  
Author(s):  
José Ferreirós
Keyword(s):  
Mathematical Knowledge ◽  
A Priori ◽  
Philosophy Of Mathematics ◽  
Advanced Mathematics ◽  
New Approach ◽  
Agent Based ◽  
Epistemology Of Mathematics ◽  
Actual Experience ◽  
Elementary Math ◽  
Mathematical Tradition

This book presents a new approach to the epistemology of mathematics by viewing mathematics as a human activity whose knowledge is intimately linked with practice. Charting an exciting new direction in the philosophy of mathematics, the book uses the crucial idea of a continuum to provide an account of the development of mathematical knowledge that reflects the actual experience of doing math and makes sense of the perceived objectivity of mathematical results. Describing a historically oriented, agent-based philosophy of mathematics, the book shows how the mathematical tradition evolved from Euclidean geometry to the real numbers and set-theoretic structures. It argues for the need to take into account a whole web of mathematical and other practices that are learned and linked by agents, and whose interplay acts as a constraint. It demonstrates how advanced mathematics, far from being a priori, is based on hypotheses, in contrast to elementary math, which has strong cognitive and practical roots and therefore enjoys certainty. Offering a wealth of philosophical and historical insights, the book challenges us to rethink some of our most basic assumptions about mathematics, its objectivity, and its relationship to culture and science.

Browser Security Attacks and Detection Techniques: A Case of Tabnabbing

2020 ◽  
Vol 8 (1) ◽  
pp. 33-41
Author(s):  
Dr. S. Sarika ◽  
Keyword(s):  
Credit Card ◽  
State Of The Art ◽  
Experimental Results ◽  
Detection Technique ◽  
Security Attacks ◽  
Agent Based ◽  
Detection Techniques ◽  
Browser Security ◽  
Cyber Threats ◽  
Multi Agent

Phishing is a malicious and deliberate act of sending counterfeit messages or mimicking a webpage. The goal is either to steal sensitive credentials like login information and credit card details or to install malware on a victim’s machine. Browser-based cyber threats have become one of the biggest concerns in networked architectures. The most prolific form of browser attack is tabnabbing which happens in inactive browser tabs. In a tabnabbing attack, a fake page disguises itself as a genuine page to steal data. This paper presents a multi agent based tabnabbing detection technique. The method detects heuristic changes in a webpage when a tabnabbing attack happens and give a warning to the user. Experimental results show that the method performs better when compared with state of the art tabnabbing detection techniques.

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