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Wyszukujesz frazę "agent models" wg kryterium: Temat


Wyświetlanie 1-5 z 5
Tytuł:
Controllability of consensus heterogeneous multi-agent networks over continuous time scale
Autorzy:
Athira, V. S.
Muni, Vijayakumar S.
Rafeek, Kallu Vetty Muhammed
Reddy, Gudala Janardhana
Powiązania:
https://bibliotekanauki.pl/articles/31343938.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
multi-agent systems
controllability
heterogeneous
agent models
Opis:
The research, presented in this paper, concernes the controllability of a multi-agent network with a directed, unweighted, cooperative, and time-invariant communication topology. The network’s agents follow linear and heterogeneous dynamics, encompassing first-order, second-order, and third-order differential equations over continuous time. Two classes of neighbour-based linear distributed control protocols are considered: the first one utilises average feedback from relative velocities/relative accelerations, and the second one utilises feedback from absolute velocities/absolute accelerations. Under both protocols, the network’s agents achieve consensus in their states asymptotically. We observe that both of the considered dynamical rules exploit the random-walk normalised Laplacian matrix of the network’s graph. By categorising the agents of the network into leaders and followers, with leaders serving as exogenous control inputs, we analyse the controllability of followers within their state space through the influence of leaders. Specifically, matrix-rank conditions are established to evaluate the leader– follower controllability of the network under both control protocols. These matrix-rank conditions are further refined in terms of the system matrices’ eigenvalues and eigenvectors. The inference diagrams presented in this work provide deeper insights into how leader– follower interactions impact the network controllability. The efficacy of the theoretical findings is validated through numerical examples.
Źródło:
Control and Cybernetics; 2023, 52, 2; 199-245
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Is Management a Science or an Art? From Theory to Practice of Management
Autorzy:
Grudzewski, Wiesław Maria
Wilimowska, Zofia
Powiązania:
https://bibliotekanauki.pl/articles/633673.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
management
models
artificial intelligence
neural networks
agent
risk
Opis:
Purpose – The purpose of this article is to discuss and show that management is a science, not just an art. Decision-making in the enterprise requires talent and special skills supported by the right qualifications. According to Tatarkiewicz, management can be considered as an art, which can be interpreted as follows: “(...) man’s conscious creation is a work of art always when it recreates reality, shapes forms, or expresses experience, yet it is able either to delight, or touch, or shock” (Tatarkiewicz, 1972). On the other hand, the company management is understood as a continuous process of making decisions based on reliable knowledge, observations and experiences – it is, therefore, a science, and modern managers are not just passive consumers of research knowledge, but also its creators. Contemporary theories focus attention on constructing appropriate models, which support the decisions of managers allowing them to somehow “spy” and observe the effects of their decisions. The aim of the paper is to show that in the modern economy, design models to support the management of the enterprise is the science that uses the achievements of other sciences, creative adaptation of these achievements in modeling phenomena occurring in the world economy. The aim of this article is to show that management sciences are increasingly exploiting modern knowledge to build models for developing practical concepts of management systems.Design/Methodology/Approach – The authors present the review of mathematical models, computer models (used in situations where the analytical models cannot find the best solution), and in particular artificial intelligence algorithms and selected models of dynamic system for managing the organization and some examples of applications.Findings – The results obtained show that in the management sciences, many models are used to support managerial decisions. Of course, the achievements of other sciences are very often used, management is of an application, but also of scientific nature, because, in order to skillfully use knowledge from other fields, decision-making models should be developed to solve problems in management and allow to use the achievements of these other areas.Research limitations/implications – The limitations of this paper result from the fact that only selected models are presented in the article. The authors hope that these selected models will be the argument that management science is becoming more and more science and not an art only.Originality/Value – This paper presents the review of modern methods used in management sciences to show that modern management is more a science than an art.
Źródło:
International Journal of Synergy and Research; 2017, 6
2083-0025
Pojawia się w:
International Journal of Synergy and Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Exploring agent-based wireless business models and decision support applications in an airport environment
Autorzy:
Wang, Y.
Cuthbert, L.
Mullany, F. J.
Stathopoulos, P.
Tountopoulos, V.
Sotiriou, D. A.
Mitrou, N.
Senis, M.
Powiązania:
https://bibliotekanauki.pl/articles/308938.pdf
Data publikacji:
2004
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
wireless applications
multi-agent systems
wireless business models
wireless SLA
radio resource management
Opis:
This paper describes an intelligent communication and decision support system for providing wireless services in an airport environment. A novel agent-based business model is proposed and the value chain is analysed for wireless applications. This system is studied and developed within the scope of the IST ADAMANT project, where the Athens International Airport (AIA) is used as the trial environment. First of all, a set of advanced, realistic decision support application scenarios enhancing the airport facilities both for the passengers and for the airport staff is identified. Most of the applications can be summarised as location-based personalised services. They refer both to airport internal users and to passenger users. In order to provide these services, location-sensitive service level agreements (SLAs) and radio resource management (RRM) are introduced. The design of such a system is envisaged based on a generic, multi-agent architecture, which is also presented in this paper.
Źródło:
Journal of Telecommunications and Information Technology; 2004, 3; 57-64
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The principal-agent problem in supply chain management – the simulation based framework
Autorzy:
Siuta, Kinga
Kaszyński, Daniel
Powiązania:
https://bibliotekanauki.pl/articles/2183432.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
supply chain
quantitative models for decision-making
simulation framework
agency problem
principal-agent problem
ESOP
Opis:
This research deals with a phenomenon well-known in socio-economic studies and referred to as the Agency Theory: the principal-agent problem. The agent is designated to act on behalf of the company owner, i.e., the principal, in the domain of supply chain management in the face of a supplier’s default uncertainty. Each of the players is gain-oriented, but their objective functions and the degree of risk-bearing may significantly differ, leading to an agent’s decisions not being optimal in terms of the principal’s outcome. This article proposes a multi-period supply chain simulation model that can be used to perform a supply chain optimization and comparison between the agent and the principal. The proposed framework allows for differentiating the model parametrization depending on the industry, in particular the consequences of the inability to deliver the end product, costs of keeping safety stocks, or the uncertainty regarding the suppliers’ delivery failure. As players’ objective functions, we consider expected profit-based indicators and measures taking the inter-period variance into account. We find that the agent’s actions may diverge from the principal’s optimum if the agent’s incentive system is not selected correctly. We also propose a solution that unifies the goals of the players. The recent COVID-19 pandemic amplifies the importance of such research. Many companies had to limit production capacities due to global lockdowns and, per the JIT production strategy, the prior safety stock levels were low.
Źródło:
Control and Cybernetics; 2021, 50, 1; 195--221
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of traffic assignment in visum and transport simulation in matsim
Porównanie algorytmów rozkładu ruchu w systemach visum i matsim
Autorzy:
Piątkowski, B.
Maciejewski, M.
Powiązania:
https://bibliotekanauki.pl/articles/375528.pdf
Data publikacji:
2013
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
MATSim
VISUM
traffic modelling
transport simulation
4-stage models
agent-based systems
modelowanie ruchu
symulacja transportu
4-stopniowe modele
Opis:
The paper presents a comparison of different approaches to traffic modelling and forecasting in VISUM and MATSim. The comparison was based on three indicators: link volumes, average travel time and distance. For this purpose, a virtual city with a road network and an OD matrix describing travel demands were created. Next the input data were created to both systems. The equilibrium and the dynamic stochastic assignment algorithms were used in VISUM while in MATSim a multi-agent approach was used for planning and a queue-based flow model for simulation. The comparison showed that although the overall results obtained in both systems were convergent, the detailed distribution of traffic was different. In VISUM the static assignment algorithm resulted in increased traffic flow on links located near to the connectors, while the dynamic one assigned traffic more uniformly, matching the MATSim’s results.
W artykule przedstawiono porównanie różnych podejść do modelowania i prognozowania ruchu wykorzystywanych w systemach VISUM i MATSim za pomocą takich wskaźników, jak liczba pojazdów na odcinkach, średni czas oraz średnia długość podróży. W tym celu stworzono wirtualne miasto z siecią drogową oraz macierz OD, określającą popyt na podróże. Następnie przygotowano dane wejściowe do obu systemów. W systemie VISUM wykorzystano algorytmy statycznej równowagi i stochastycznego rozkładu dynamicznego, natomiast w MATSim wykorzystano podejście wieloagentowe do planowania oraz model kolejkowy do symulacji ruchu. Porównanie wskazało, że choć wyniki ogólne otrzymane w obu systemach były zbieżne, to szczegółowy rozkład ruchu był inny. W systemie VISUM przy statycznym algorytmie rozkładu ruchu zwiększone było natężenie na odcinkach w pobliżu konektorów, podczas gdy algorytm dynamiczny rozdzielił ruch bardziej równomiernie, dorównując wynikom w systemie MATSim.
Źródło:
Transport Problems; 2013, 8, 2; 113-120
1896-0596
2300-861X
Pojawia się w:
Transport Problems
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-5 z 5

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