scholarly journals MULTI-AGENT LATENT SEMANTIC INTERNET TECHNOLOGY FOR THE FORMATION OF A SUBJECT-ORIENTED KNOWLEDGE MODEL

Author(s):  
A. A. Stenin ◽  
V. P. Pasko ◽  
M. A. Soldatova ◽  
I. G. Drozdovich

Context. The article proposes a latent-semantic technology for extracting information from Internet resources, which allows processing information in natural language, as well as a multi-agent search algorithm based on it. The relevance of this approach to the search for subject-oriented information determined by the fact that currently a direct lexical comparison of queries with document indexes does not fully satisfy the developer. The object of the study is a multi-agent latent-semantic algorithm for searching for subject-oriented information.  Objective.  The work is to increase the efficiency of forming a knowledge model that is adequate for this subject area. Method. A latent semantic technology based on the weighted descriptor method developed by the authors is proposed. The main difference from the existing methods is that the analysis of words occurring in the text both in frequency and taking into account semantics carried out by selecting the appropriate descriptors, which improves the quality of the information found. Results. The developed latent-semantic technology of information search tested in the task of constructing a knowledge model of automated decision support systems for operational and dispatching control of urban engineering networks. The conducted modeling of the search for subject-oriented information in this subject area showed the effectiveness of the developed approach. Conclusions. Improving the efficiency of search and semantic content of subject-oriented information of the knowledge model of this subject area achieved by using the weighted descriptor method based on Zipf’s laws in this technology. The prospects for further research are to build evolutionary models of knowledge and improve the quality of updated information.

Author(s):  
K. Lenin

This paper presents a new optimization algorithm called Adaptive Charged System Search Algorithm (ACA) for solving optimal power problem. Coulomb law from electrostatics and the Newtonian laws of mechanics are forming the basics of the proposed algorithm. Adaptive Charged System Search Algorithm (ACA) is a multi-agent approach in which each agent is a Charged Particle (CP) & they affect each other based on their fitness values, separation of distances. The quantity of the resultant force is determined by using the electrostatics laws and the quality of the movement is determined using Newtonian mechanics laws. Proposed Adaptive Charged System Search Algorithm (ACA) has been tested in Standard IEEE 57,118 bus systems & real power loss has been comparatively reduced with voltage profiles are within the limits.


Author(s):  
S.I. Makarenko ◽  
◽  
O.S. Solovieva ◽  

In the paper is proposed an approach for semantic interaction modelling of network-centric system elements and their context parameters based on the multi-agent approach and the systems, capabilities, operations, programs, and enterprises model for interoperability assessment. The peculiarity of this approach is that the elements of a network-centric system are formalized as agents of various types (human agents and technical cognitive agents), where the semantic interaction is determined by the agent goals, the subject area of interaction and the context. In addition, correct of interaction interpretation is determined the agent's knowledge model. The current study takes place as a part of Russian Foundation for basic research finance project no. 19-07-00774.


2020 ◽  
Vol 11 (4) ◽  
pp. 030-043
Author(s):  
Elena A. Yakovleva ◽  

The article provides an analytical overview of the peculiarities of the international and Russian tradition of studying overlapping structures describing happiness, subjective well-being, quality of life and satisfaction. The semantic content of such constructions and the peculiarities of their use in empirical research are studied. The most common and studied determinants of subjective well-being are described. Existing Russian and international databases that can serve as sources of well-being analysis in the time and cross-country space are considered. A semantic analysis of the concept of "happiness" as the closest and most commonly used synonym for the term "subjective well-being" is conducted. The discussion questions of the relationship of theoretical constructs describing the concept of subjective well-being are discussed in detail. A characterisation of the extent to which the existing needs of an individual are met has been proposed as a basis for developing similar structures, where it is important to take into account the individual specificity and level character of the needs themselves. It has been shown that the concept of subjective well-being is adequately described by the parameter of need satisfaction, the indicator of which is positive emotions. A model of subjective well-being is considered, which takes into account the difference between the hedonistic component characterized by a measure of satisfaction with universal basic needs determined by material and other resources, and the eudemonistic component characterising success in achieving individual meaningful life goals. The article provides an analysis of the fact that a person's well-being is determined both through an assessment or self-assessment of his or her social status and situation, his or her ideas about the possibility and feasibility of achieving the desired goal. On this basis, a two-level model of subjective well-being is proposed, distinguishing between an affective component, such as an assessment of an individual's emotional balance at the time of measurement and a cognitive component, which characterises the assessment of quality of life in general, the degree of subjectivity and reasonableness in achieving a person's life goals.


Algorithms ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 230
Author(s):  
Willa Ariela Syafruddin ◽  
Rio Mukhtarom Paweroi ◽  
Mario Köppen

Since nature is an excellent source of inspiration for optimization methods, many optimization algorithms have been proposed, are inspired by nature, and are modified to solve various optimization problems. This paper uses metaheuristics in a new field inspired by nature; more precisely, we use pollination optimization in cocoa plants. The cocoa plant was chosen as the object since its flower type differs from other kinds of flowers, for example, by using cross-pollination. This complex relationship between plants and pollinators also renders pollination a real-world problem for chocolate production. Therefore, this study first identified the underlying optimization problem as a deferred fitness problem, where the quality of a potential solution cannot be immediately determined. Then, the study investigates how metaheuristic algorithms derived from three well-known techniques perform when applied to the flower pollination problem. The three techniques examined here are Swarm Intelligence Algorithms, Individual Random Search, and Multi-Agent Systems search. We then compare the behavior of these various search methods based on the results of pollination simulations. The criteria are the number of pollinated flowers for the trees and the amount and fairness of nectar pickup for the pollinator. Our results show that Multi-Agent System performs notably better than other methods. The result of this study are insights into the co-evolution of behaviors for the collaborative pollination task. We also foresee that this investigation can also help farmers increase chocolate production by developing methods to attract and promote pollinators.


Author(s):  
Bernadus Gunawan Sudarsono ◽  
Sri Poedji Lestari

The use of internet technology in the government environment is known as electronic government or e-government. In simple terms, e-government or digital government is an activity carried out by the government by using information technology support in providing services to the community. In line with the spirit of bureaucratic reform in Indonesia, e-government has a role in improving the quality of public services and helping the process of delivering information more effectively to the public. Over time, the application of e-Government has turned out to have mixed results. In developed countries, the application of e-Government systems in the scope of government has produced various benefits ranging from the efficiency of administrative processes and various innovations in the field of public services. But on the contrary in the case of developing countries including Indonesia, the results are more alarming where many government institutions face obstacles and even fail to achieve significant improvements in the quality of public services despite having adequate information and communication technology. The paradigm of bureaucrats who wrongly considers that the success of e-Government is mainly determined by technology. Even though there are many factors outside of technology that are more dominant as causes of failure such as organizational management, ethics and work culture. This study aims to develop a model of success in the application of e-Government from several best practice models in the field of information technology that have been widely used so far using literature studies as research methods. The results of the study show that the conceptual model of the success of the implementation of e-Government developed consists of 17 determinants of success..Keywords: Model, Factor, Success, System, e-Government


2021 ◽  
Vol 37 (1-4) ◽  
pp. 1-30
Author(s):  
Vincenzo Agate ◽  
Alessandra De Paola ◽  
Giuseppe Lo Re ◽  
Marco Morana

Multi-agent distributed systems are characterized by autonomous entities that interact with each other to provide, and/or request, different kinds of services. In several contexts, especially when a reward is offered according to the quality of service, individual agents (or coordinated groups) may act in a selfish way. To prevent such behaviours, distributed Reputation Management Systems (RMSs) provide every agent with the capability of computing the reputation of the others according to direct past interactions, as well as indirect opinions reported by their neighbourhood. This last point introduces a weakness on gossiped information that makes RMSs vulnerable to malicious agents’ intent on disseminating false reputation values. Given the variety of application scenarios in which RMSs can be adopted, as well as the multitude of behaviours that agents can implement, designers need RMS evaluation tools that allow them to predict the robustness of the system to security attacks, before its actual deployment. To this aim, we present a simulation software for the vulnerability evaluation of RMSs and illustrate three case studies in which this tool was effectively used to model and assess state-of-the-art RMSs.


2021 ◽  
pp. 097226292098454
Author(s):  
Vipul Patel ◽  
Richa Pandit

Today, all phases of consumers' buying process from pre-information search, evaluation of alternatives, order placing and post-purchase service are conducted in shopping apps installed in smartphones. A shopping app is omnipresent and is a powerful retail channel for retailers all over the world. However, the primary concern for many customers is that online shopping is not secure. This insecurity is more if customers have to purchase from an unfamiliar shopping app. Customers generally hesitate to purchase using unfamiliar shopping apps, unless they feel that the app is trustworthy. Based on the survey of 264 respondents, this study attempts to measure the impact of the quality of unfamiliar shopping apps on initial trust formation and subsequently, purchase intention. An attempt was also made to study the moderated mediation impact of risk attitude on the relationship between shopping app quality and initial trust formation. The findings of this paper may be of practical use for the online retailers by providing a better understanding of the adoption of unfamiliar shopping apps among prospective customers. It will also provide strategic inputs to online retailers to craft suitable strategies for the adoption of unfamiliar shopping apps.


Author(s):  
Salama A. Mostafa ◽  
Alicia Y.C. Tang ◽  
Mustafa Hamid Hassan ◽  
Mohammed Ahmed Jubair ◽  
Shihab Hamad Khaleefah

Author(s):  
Luciana Cardoso ◽  
Fernando Marins ◽  
César Quintas ◽  
Filipe Portela ◽  
Manuel Santos ◽  
...  

With the advancement of technology, patient information has been being computerized in order to facilitate the work of healthcare professionals and improve the quality of healthcare delivery. However, there are many heterogeneous information systems that need to communicate, sharing information and making it available when and where it is needed. To respond to this requirement the Agency for Integration, Diffusion, and Archiving of medical information (AIDA) was created, a multi-agent and service-based platform that ensures interoperability among healthcare information systems. In order to improve the performance of the platform, beyond the SWOT analysis performed, a system to prevent failures that may occur in the platform database and also in machines where the agents are executed was created. The system has been implemented in the Centro Hospitalar do Porto (one of the major Portuguese hospitals), and it is now possible to define critical workload periods of AIDA, improving high availability and load balancing. This is explored in this chapter.


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