PRINCIPLES OF BUILDING SELF-ORGANIZING INFORMATION AND TELECOMMUNICATION SYSTEMS

2021 ◽  
Vol 1 (100) ◽  
pp. 56-67
Author(s):  
ALEXEY A. SUKONSCHIKOV ◽  
ANATOLY N. SHVETSOV ◽  
IGOR A. ANDRIANOV ◽  
DMITRIY V. KOCHKIN
Keyword(s):  
Intelligent Agents ◽  
Distributed Information ◽  
Agent Based ◽  
Functional Flexibility ◽  
Telecommunication Systems ◽  
Neuro Fuzzy ◽  
Self Development ◽  
Geographically Distributed ◽  
Multi Level ◽  
Agent Orientation

The article discusses the basic foundations of the functioning and evolution of complex distributed information and telecommunication systems (ITS) in the neuro-fuzzy agent-based paradigm. The formalization principles for such systemsareproposed:goal structuring, agent orientation, hierarchical intellectual organization, modularity of intelligent agents, structural and functional flexibility of intelligent agents, single mathematical apparatus, self-development and system evolution.The concept of a distributed intelligent ITS as a geographically distributed multi-level hierarchical set of hardware and software controlled by agent-based systems is introduced.

scholarly journals The Intertwining Impact of Intraorganizational and Routine Networks on Routine Replication Dynamics: An Agent-Based Model

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-23 ◽  
Author(s):  
Dehua Gao ◽  
Flaminio Squazzoni ◽  
Xiuquan Deng
Keyword(s):  
Best Practices ◽  
Best Practice ◽  
Network Effects ◽  
Fitness Landscape ◽  
Optimal Combination ◽  
Landscape Model ◽  
Agent Based ◽  
Adaptive Changes ◽  
Absorptive Capacities ◽  
Geographically Distributed

Organizational routines are means through which organizations can reutilize best practices and so their replication, i.e., duplicating beneficial routines across context, is a key value-creating strategy. However, it is difficult to map network effects on routine replication. Here, we investigated routine replicating dynamics considering two types of network contexts, namely, (1) connections between different (geographically distributed) units in a decentralized organization and (2) the coupling relation between routines, i.e., a bundle of different routines involved in each unit. By considering routine replication as one kind of template-based activities between different units, we examined interrelations between routines with a NK-based fitness landscape model. Our results show that when there is an appropriate level of absorptive capacities (i.e., when organizations are capable of identifying and acquiring externally generated knowledge), there is an optimal combination of these two types of networks, which is beneficial to routine replicating practices and organization adaptation. Furthermore, we also found that intraorganizational variations, including template-duplicating errors and innovative activities, are instrumental to enhance adaptive changes. Our findings suggest measures to control and manage best practice diffusion across organizations.

scholarly journals Detection of Black Hole Attack Using Honeypot Agent-Based Scheme with Deep Learning Technique on MANET

2021 ◽  
Vol 26 (6) ◽  
pp. 549-557
Author(s):  
Venkatasubramanian Srinivasan
Keyword(s):  
Black Hole ◽  
Intelligent Agents ◽  
Ad Hoc ◽  
Short Term Memory ◽  
Detection Methods ◽  
Delivery Ratio ◽  
Mobile Nodes ◽  
Black Hole Attack ◽  
Detection Scheme ◽  
Agent Based

Mobile Ad-Hoc Networks (MANETs) due to their reconfigurable nature are being integrated into new and futuristic knowledge such as Internet of Things (IoT), cloud, reconfigurable networks, etc. To attain such credibility of integration, the routing protocols associated with these mobile nodes have to connect, perform and facilitate routing that offers a high level of security and resistance to all possible threats and security issues that may emanate in the network. One of the solutions used to maintain network security is intrusion detection systems (IDSs). This article primarily emphasis on the network's susceptibility to a suction assault known as a black hole attack. The investigations about the employment of intelligent agents called Honeypot Agent-based detection scheme (HPAS) with Long-Short Term Memory (LSTM) in identifying such assaults. Hence, the proposed method is named HPAS-LSTM, where honeypots are roaming virtual software managers that create Route Request (RREQ) packets to attract and entrap black hole attackers. Extensive model results utilizing the ns-2 simulator are used to demonstrate the presence of the suggested detection technique. The simulation outcomes demonstrate that the suggested technique outperforms current black hole detection methods in terms of throughput (TH), packet loss rate (PLR), packet delivery ratio (PDR), and total network delay (TND).

scholarly journals Self-Organizing B2B Enterprise of Distributed Photogrammetric Processing of Terrain Images in ETRIS

2020 ◽  
pp. 155-179
Author(s):  
Oleg Karsaev ◽  
Igor Shuklin ◽  
Sergey Yushchenko
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Remote Sensing Data ◽  
Earth Remote Sensing ◽  
Distributed Information System ◽  
Distributed Information ◽  
Sensing Data ◽  
Geographically Distributed ◽  
Software Information ◽  
Self Organizing

An approach to the dynamic formation (adjustment) of schedules for distributed photogrammetric image processing in a network of ground centers included in the United geographically distributed information system for receiving and processing Earth remote sensing data from space is considered. Having the fullest satisfaction of requirements of consumers to the satellite images of necessary areas, the approach provides the formation of self-organizing B2B enterprises in the specified network providing information, software and hardware resources of the ground-based facilities of various departmental and other accessories for photogrammetric processing of any received images of the area from the the United geographically distributed information system. It is shown, that a search in B2B enterprise nodes and borrowing the required resources will allow ground centers to flexibly scale physical and virtual means of photogrammetric processing of Earth remote sensing data, quickly form their local structural and functional organizations depending on the current properties of the consumer requests flow for receiving Earth remote sensing data in the United geographically distributed information system, characteristics of the flow of terrain survey materials from orbital monitoring tools, and also take into account the visual and measuring properties of images of the area subject to photogrammetric processing. A method for truncating the set of potential performers of the application in accordance with the existing semantic and other restrictions on the composition of the desired set of performers is proposed. Also mechanisms to encourage ground centers to provide idle resources to B2B enterprise nodes are proposed. They are based on the possibility of receiving monetary or other remuneration from a ground center for participating in distributed application servicing. The development of a well-known model of a self-organizing B2B enterprise creates conditions for a more efficient organization of servicing the flow of applications in the United geographically distributed information system by attracting unused software, information and hardware resources of ground centers of various departmental affiliations.

Applications of Intelligent Agents in Mobile Commerce

2018 ◽  
pp. 566-603
Author(s):  
Suresh Sankaranarayanan ◽  
Subramaniam Ganesan
Keyword(s):  
Communication Network ◽  
Growth Rate ◽  
Intelligent Agents ◽  
Research Work ◽  
Mobile Commerce ◽  
Agent Technology ◽  
Exponential Growth Rate ◽  
Agent Based ◽  
Mobile Phone Usage ◽  
Exponential Rates

Mobile phone usage and its adoption have been growing at exponential rates. It is this exponential growth rate that has led many to predict Mobile Commerce (M-Commerce) as the next major evolution of Electronic Commerce (E-Commerce). While M-Commerce comes rich with unique features, it is currently lacking in usage when compared to traditional e-commerce. There are many challenges that must be addressed in this respect. These challenges are mostly inherent in the mobile devices, communication network, legal and regulatory infrastructure. The use of agents in e-commerce has long been explored in the context, resulting in a number of agent based e-commerce systems. It is not surprising then to note that many researchers believe that the problems that the M-Commerce now faces can be addressed well using agent technology. While there is an abundance of information on the use of agent based systems in other areas, there has been no great surge yet in the use of agent based systems in real world M-Commerce applications. We believe that this slow adoption of this agent technology is due to a lack of standards. There has been a quite an amount of research work carried out in the use of software intelligent agents in the M-Commerce applications like Shopping, Hotel, and Airline industries. These are outlined in the paper with appropriate screenshots and descriptions.

Development and Evaluation of Intelligent Agent- Based Teaching Assistant in E-Learning Portals

2018 ◽  
pp. 798-809
Author(s):  
Saeed Rouhani ◽  
Seyed Vahid Mirhosseini
Keyword(s):  
User Satisfaction ◽  
Intelligent Agents ◽  
Systems Design ◽  
Ease Of Use ◽  
Agent Based ◽  
Face To Face ◽  
Educational Assistants ◽  
Virtual Universities ◽  
E Learning ◽  
Expectancy Confirmation

Today, several educational portals established by organizations to enhance web E-learning. Intelligence agent's usage is necessary to improve the system's quality and cover limitations such as face-to-face relation. In this research, after finding two main approaches in this field that are fundamental use of intelligent agents in systems design and focusing on human-based agents, second method selected and is designed and implemented in a simple way as an educational assistant to answer the students frequently asked questions. Consequently the efficiency of this method is evaluated by Expectancy confirmation-Information technology model. By examining the results of the students interacted with designed agent through the learning management system of Mehralborz institute, and the conceptual model based on e-learning effectiveness, ease of use, user satisfaction, and usefulness variables gained the scores of 55, 58 and 57 percent that represents the overall effectiveness factor is medium. Some applicative suggestions for developing intelligent agents as educational assistants are provided for virtual universities and e-learning portals.

Agent-Based Software Engineering, Paradigm Shift, or Research Program Evolution

2018 ◽  
pp. 284-296
Author(s):  
Yves Wautelet ◽  
Christophe Schinckus ◽  
Manuel Kolp
Keyword(s):  
Organizational Context ◽  
Project Managers ◽  
Flexible Systems ◽  
Multi Agent Systems ◽  
Modeling Tools ◽  
Agent Based ◽  
Agent Systems ◽  
Multi Agent ◽  
Agent Orientation ◽  
Development Agendas

Information systems are deeply linked to human activities. Unfortunately, development methodologies have been traditionally inspired by programming concepts and not by organizational and human ones. This leads to ontological and semantic gaps between the systems and their environments. The adoption of agent orientation and multi-agent systems (MAS) helps to reduce these gaps by offering modeling tools based on organizational concepts (actors, agents, goals, objectives, responsibilities, social dependencies, etc.) as fundamentals to conceive systems through all the development process. Moreover, software development is becoming increasingly complex. Stakeholders' expectations are growing higher while the development agendas have to be as short as possible. Project managers, business analysts, and software developers need adequate processes and models to specify the organizational context, capture requirements, and build efficient and flexible systems.

Designing Agent-Based Process Systems-Extending the OPEN Process Framework

2011 ◽  
pp. 160-190 ◽  
Author(s):  
J. Debenham ◽  
B. Henderson-Sellers
Keyword(s):  
Software Development ◽  
Case Studies ◽  
Agent Based ◽  
Process Systems ◽  
Development Methodology ◽  
Process Framework ◽  
Open Process ◽  
Object Technology ◽  
Additional Process ◽  
Agent Orientation

Originally a development methodology targeted at object technology, the OPEN Process Framework (OPF) is found to be a successful basis for extensions that support agent-oriented software development. Here we describe the process components necessary to agent-oriented support and illustrate the extensions by means of two small case studies that illustrate the extensions by means of two small case studies that illustrate both task-driven processes and goal-driven processes. The additional process components for Tasks and Techniques are all generated from the OPF’s metamodel, which gives the OPF its flexibility and tailorability to a wide variety of situations—here agent-orientation.

Development and Evaluation of Intelligent Agent- Based Teaching Assistant in e-Learning Portals

2015 ◽  
Vol 10 (4) ◽  
pp. 52-62
Author(s):  
Saeed Rouhani ◽  
Seyed Vahid Mirhosseini
Keyword(s):  
User Satisfaction ◽  
Intelligent Agents ◽  
Systems Design ◽  
Ease Of Use ◽  
Agent Based ◽  
Face To Face ◽  
Educational Assistants ◽  
Virtual Universities ◽  
E Learning ◽  
Expectancy Confirmation

Today, several educational portals established by organizations to enhance web E-learning. Intelligence agent's usage is necessary to improve the system's quality and cover limitations such as face-to-face relation. In this research, after finding two main approaches in this field that are fundamental use of intelligent agents in systems design and focusing on human-based agents, second method selected and is designed and implemented in a simple way as an educational assistant to answer the students frequently asked questions. Consequently the efficiency of this method is evaluated by Expectancy confirmation-Information technology model. By examining the results of the students interacted with designed agent through the learning management system of Mehralborz institute, and the conceptual model based on e-learning effectiveness, ease of use, user satisfaction, and usefulness variables gained the scores of 55, 58 and 57 percent that represents the overall effectiveness factor is medium. Some applicative suggestions for developing intelligent agents as educational assistants are provided for virtual universities and e-learning portals.

Sign in / Sign up

Export Citation Format

Share Document