دانلود و نمایش مقالات مرتبط با Game theory::صفحه 1
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با سلام خدمت کاربران عزیز، به اطلاع می رساند ترجمه مقالاتی که سال انتشار آن ها زیر 2008 می باشد رایگان بوده و میتوانید با وارد شدن در صفحه جزییات مقاله به رایگان ترجمه را دانلود نمایید.

نتیجه جستجو - Game theory

تعداد مقالات یافته شده: 72
ردیف عنوان نوع
1 Hierarchical system model for the energy management in the smart grid: A game theoretic approach
مدل سیستم سلسله مراتبی برای مدیریت انرژی در شبکه هوشمند: یک رویکرد تئوری بازی-2020
Nowadays, Demand Side Management (DSM) in the Smart Grids (SG) opens new perspectives on the management of the prosumers’ demands. The use of Information and Communication Technologies (ICT) empowers SG with the capability of supporting two-way energy and information flows, facilitating the integration of renewable energy into the grid and empowering the consumer with tools for optimizing energy consumption and costs. Many researches have highlighted on the active role of consumers in the DSM. However, they limited their role to either negotiating with the providers about the unit energy price, or trading their surplus of energy, if any, with other prosumers or providers. In this paper, we introduce a hierarchical system model where multiple providers and prosumers interact to define the best price and demands. We highlight the capacity of a prosumer to produce energy and minimize the dependency on the providers in the overall proposed energy management. The latter will be able to maximize his satisfaction by trading energy, first, with other prosumers with a suitable price, and by interacting with the providers, if any remaining energy needed, in a distributed way. Hence, we optimize the price and demands while considering multiple constraints and different providers and prosumers by establishing a Stackelberg game to model two types of interactions: (1) prosumer–prosumer and (2) provider–consumer. We prove that a unique equilibrium solution exists and simulation results show that our proposed approach optimizes energy consumption and price.
Keywords:Demand side management | Energy trading | Prosumers | Providers | Game theory
مقاله انگلیسی
2 A task scheduling algorithm considering game theory designed for energy management in cloud computing
یک الگوریتم برنامه ریزی کار با توجه به تئوری بازی طراحی شده برای مدیریت انرژی در محاسبات ابری-2020
With the increasing popularity of cloud computing products, task scheduling problem has become a hot research topic in this field. The task scheduling problem of cloud computing system is more complex than the traditional distributed system. Based on the analysis of cloud computing in related literature, we established a simplified model for task scheduling system in cloud computing.Different from the previous research of cloud computing task scheduling algorithm, the simplified model in this paper is based on game theory as a mathematical tool. Based on game theory, the task scheduling algorithm considering the reliability of the balanced task is proposed. Based on the balanced scheduling algorithm, the task scheduling model for computing nodes is proposed. In the cooperative game model, game strategy is used for the task in the calculation of rate allocation strategy on the node. Through analysis of experimental results, it is shown that the proposed algorithm has better optimization effect.
Keywords: Task scheduling | Game theory | Cloud computing | Optimization
مقاله انگلیسی
3 Consumers’ sensitivities and preferences modelling and integration in a decentralised two levels energy supervisor
حساسیت ها و ترجیحات مصرف کنندگان مدل سازی و ادغام در یک ناظر غیر متمرکز انرژی در دو سطح-2020
To address the new challenges arising from the higher penetration of renewable energy in electrical grid, Demand Response (DR) aims to involve the residential consumers in the grid equilibrium. Ensuring benefits for both utility and users requires the consumers sensitivities to be understood and then included in the Energy Management System (EMS). For this purpose, the cost is the predominant and most often only factor taken into account in the literature, although in the residential sector other concerns influencing electricity consumption behaviour have been observed. This paper presents a two levels EMS applied to a neighbourhood of consumers mathematically modelled at the level of their appliances and incorporating 5 consumers profiles along three sensitivities: cost, environment and appliances shifting comfort. The first level is a day ahead supervision based on a multi-agent optimisation lead by a central aggregator but performed locally by the household using Dynamic Programming (DP), thus ensuring privacy protection for the stakeholders. The second level is a real time supervision using the same decentralised structure and based on fuzzy logic. Both levels are evaluated in this paper, with a focus on the balance between grid and consumers objectives.
Keywords: Demand response | Energy management | Game Theory | Fuzzy Logic | Decentralised load management | Consumers profiles
مقاله انگلیسی
4 بازی بلاکچین : سنتز سیستم‌های بیزانس و تعادل نش
سال انتشار: 2019 - تعداد صفحات فایل pdf انگلیسی: 2 - تعداد صفحات فایل doc فارسی: 7
این مقاله، دیدگاه سنتزی زنجیره‌ی بلوکی را از دو منظر متعامد ارائه می‌دهد: سیستم‌های توزیع شده‌ی تحمل پذیر خطا و نظریه بازی. به طور خاص یک مسئله‌ی تئوریکی بازی را در زمینه‌ی زنجیره بلوکی فرموله می‎‌‌کنیم و یک تعادل نش فرم بسته برای مسئله مطرح می‌کنیم.
مقاله ترجمه شده
5 ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU
ISeeU: یادگیری عمیق قابل تفسیر برای پیش بینی مرگ و میر در بخش مراقبت های ویژه-2019
To improve the performance of Intensive Care Units (ICUs), the field of bio-statistics has developed scores which try to predict the likelihood of negative outcomes. These help evaluate the effectiveness of treatments and clinical practice, and also help to identify patients with unexpected outcomes. However, they have been shown by several studies to offer sub-optimal performance. Alternatively, Deep Learning offers state of the art capabilities in certain prediction tasks and research suggests deep neural networks are able to outperform traditional techniques. Nevertheless, a main impediment for the adoption of Deep Learning in healthcare is its reduced interpretability, for in this field it is crucial to gain insight into the why of predictions, to assure that models are actually learning relevant features instead of spurious correlations. To address this, we propose a deep multiscale convolutional architecture trained on the Medical Information Mart for Intensive Care III (MIMIC-III) for mortality prediction, and the use of concepts from coalitional game theory to construct visual explanations aimed to show how important these inputs are deemed by the network. Results show our model attains a ROC AUC of 0.8735 (± 0.0025) which is competitive with the state of the art of Deep Learning mortality models trained on MIMIC-III data, while remaining interpretable. Supporting code can be found at https://github.com/ williamcaicedo/ISeeU.
Keywords: Deep learning | MIMIC-III | ICU | Shapley Values
مقاله انگلیسی
6 An incentive mechanism for data sharing based on blockchain with smart contracts
مکانیسم تشویقی برای به اشتراک گذاری داده ها مبتنی بر بلاکچین با قراردادهای هوشمند-2019
Data sharing techniques have progressively drawn increasing attention as a means of sig- nificantly reducing repetitive work. However, in the process of data sharing, the challenges regarding formation of mutual-trust relationships and increasing the level of user partic- ipation are yet to be solved. The existing solution is to use a third party as a trust orga- nization for data sharing, but there is no dynamic incentive mechanism for data sharing with a large number of users. Blockchain 2.0 with smart contract has the natural advan- tage of being able to enable trust and automated transactions between a large number of users. This paper proposes a data sharing incentive model based on evolutionary game theory using blockchain with smart contract. The smart contract mechanism can dynami- cally control the excitation parameters and continuously encourages users to participate in data sharing.
Keywords: Blockchain | Data sharing | Game theory | Smart contract | Trust | Automation transaction | Incentive mechanism
مقاله انگلیسی
7 ارائه قابلیت اطمینان مشتری مبتنی بر بازار در سیستم‌های توزیع براساس نظریه بازی: رویکرد بهینه ‌سازی چند سطحی
سال انتشار: 2019 - تعداد صفحات فایل pdf انگلیسی: 9 - تعداد صفحات فایل doc فارسی: 29
برنامه‌های افزایش قابلیت اطمینان سنتی در زمینه خدمات توزیع برق به طور متوسط بر بهبود قابلیت اطمینان مشتریان (مصرف کنندگان) خدمات توزیع متمرکز است. ارائه سطوح قابلیت اطمینان هدفمند در هزینه‌های عملکرد بهینه برای مشتریان برنامه‌های توزیع مجزا یکی از ویژگی‌های مهم سیستم‌های توزیع هوشمند است که در سال‌های اخیر مورد توجه بوده ‌است. در نتیجه، یک رویکرد مبتنی بر بازار برای شناسایی حداقل هزینه عملکرد سیستم توزیع مورد نیاز است که ترجیحات قابلیت اطمینان مشتریان (هزینه‌های قطع برق) را در یک عملیات سیستم رقابتی در نظر بگیرد. در این مقاله، ما رویکرد مبتنی بر بازار را برای تنظیم ترجیحات قابلیت اطمینان مشتری در سیستم توزیع هوشمند معرفی می‌کنیم. رویکرد پیشنهادی از تئوری بازی به عنوان یک ابزار قدرتمند برای مدل‌سازی تعارضات بین شرکت کنندگان سیستم توزیع (مشتریان و سودمندی) استفاده می‌کند. در این مدل، مشتریان سطح قابلیت اطمینان مطلوب خود را پیشنهاد خواهند داد، و اپراتور سیستم توزیع (DSO)، تخصیص قابل‌اطمینان را در میان مشتریان ایجاد می‌کند که هزینه بهره‌ برداری سیستم توزیع را به حداقل می‌رساند. تعاملات بین شرکت کنندگان مدل شده‌اند و مدل با استفاده از یک رویکرد بهینه‌سازی دوسطحی حل می‌شود تا سطح قابلیت اطمینان بهینه مشتری تعیین شود. این مدل را می توان برای راه‌اندازی شبکه موجود یا در صورتی که یک برنامه بر روی افزایش قابلیت اطمینان سرمایه‌گذاری می‌کند، بکار برد. مدل پیشنهادی می‌تواند به طور مناسب مشارکت مشتریان سیستم توزیع را با ارائه چندین گزینه اطمینان از طریق ارتباطات دوطرفه بین مشتریان و سودمندی سیستم توزیع تشویق کند. آزمونهای شبیه ‌سازی بر روی یک سیستم توزیع نمونه ویژگی‌های قابل‌توجه مدل قابلیت اطمینان توزیع پیشنهادی را نشان می‌دهند.
اصطلاحات شاخص : اپراتور سیستم توزیع | قابلیت اطمینان سیستم | بهینه‌ سازی دوسطحی | نظریه بازی
مقاله ترجمه شده
8 Complete null agent for games with externalities
عامل پوچ کامل برای بازی با اثرات جانبی-2019
Game theory provides valuable tools to examine expert multi-agent systems. In a cooperative game, col- laboration among agents leads to better outcomes. The most important solution for such games is the Shapley value, that coincides with the expected marginal contribution assuming equiprobability. This as- sumption is not plausible when externalities are present in an expert system. Generalizing the concept of marginal contributions, we propose a new family of Shapley values for situations with externalities. The properties of the Shapley value offer a rationale for its application. This family of values is charac- terized by extensions of Shapley’s axioms: efficiency, additivity, symmetry, and the null player property. The first three axioms have widely accepted generalizations to the framework of games with externali- ties. However, different concepts of null players have been proposed in the literature and we contribute to this debate with a new one. The null player property that we use is weaker than the others. Finally, we present one particular value of the family, new in the literature, and characterize it by two additional properties.
Keywords: Game theory | Multi-agent systems | Externalities | Partition function | Marginal contribution
مقاله انگلیسی
9 Hotel location when competitors may react: A game-theoretic gravitational model
مکان هتل وقتی که رقبا ممکن است واکنش نشان دهند: یک مدل نظری گرانشی بازی-2018
This paper presents a hotel location model that incorporates concepts from both game theory and gravitational site location models. We consider a hotel chain intending to build new hotels in a given region. Customers travel to the region to visit some specific points, termed “attractions”, and they choose a hotel according to room price, location and hotel attractiveness. Competitor hotels react to the new hotels by changing prices, in order to maximize their own profits, so the final set of prices will be a Nash equilibrium. We propose an iterative procedure for finding the equilibrium prices and a genetic algorithm-based procedure for finding the optimal strategy, in terms of new hotels to be built and respective typologies. Using a mini case, we illustrate and analyse the influence of several parameters. Then, we present computational experiments, concluding that the proposed procedures are effective in finding good solutions for the model.
keywords: Tourism site location| Game theory| Genetic algorithms| Spatial interaction models
مقاله انگلیسی
10 Competitive store closing during an economic downturn
بستن انبار رقابتی درطی یک رکود اقتصادی-2018
The economic downturn of the late 2000s resulted in the closing of a number of retail stores. When doing so a firm has to consider which stores to close, and when to close them, so that profits are maximized. Since retail stores operate in a competitive environment, these decisions are not simply a function of a retailers existing store locations but are also contingent on the location, and closing decisions, of stores operated by rival firms. This paper examines a game between two retail chains looking to downsize operations in a given region and presents a solution procedure that captures the equilibrium store closing decisions. The solution procedure includes a single period mixed integer program model and a multi-period heuristic with a backward and forward pass to find near optimal solutions. Our results provide guidelines for developing effective strategies to systematically reduce the number of stores so that profit is maximized while competitive pressure is exerted on rival stores.
keywords: Location analysis |Store closing |Integer linear programming |Game theory
مقاله انگلیسی
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