937 resultados para equilibrio de Nash


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Resumen: Este artículo intenta teorizar acerca de la dinámica entre los medios masivos de comunicación y los gobiernos de los países latinoamericanos. Si bien en la última década los gobiernos atacaron públicamente a los medios de comunicación, se afirma que no se dio por las razones que dicen, sino más bien por asuntos económicos. Por lo tanto, se ha diseñado un modelo utilizando el método de “principal” vs “incumbente”, donde se alcanzará un equilibrio de Nash perfecto en subjuegos. Además de esto, se realiza un repaso por la literatura conocida, y concluye señalando las fortalezas y debilidades del modelo propuesto.

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Para cualquier alumno de Ciencias Sociales que esté interesado en saber analizar juegos en los que existe interacción estratégica entre los jugadores. Contenido: Introducción, Conceptos Básicos, Juegos simultáneos, Ejercicios de autoevaluación, el equilibrio de Nash, problemas del equilibrio de Nash, algunos resultados de interés, algunas aplicaciones del equilibrio de Nash, Ejercicios de autoevaluación, Las estrategias Maximin, las estrategias mixtas, Ejercicios de autoevaluación, el dilema del prisionero, Ejercicios de autoevaluación, Juegos sucesivos o secuenciales, Ejercicios de autoevaluación, paso de la forma extensiva a la normal, Ejercicios de autoevaluación, los juegos repetidos, Ejercicios de autoevaluación, Ejercicio de repaso, solución a los Ejercicios de autoevaluación, respuesta al ejercicio de repaso, Ejercicios, Apéndice: Aplicaciones Económicas, Bibliografía.

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Para cualquier alumno de la Licenciatura en Economía o de la Licenciatura en Administración y Dirección de Empresase que esté interesado en analizar los problemas de coordinar y motivar a los miembros de una organización. Contenido: Conceptos de Equilibrio: Equilibrio de Nash, Equilibrio Perfecto en Subjuegos, Solución Negociadora de Nash. Modelos de Oligopolio. Regulación de los mercados por el gobierno. Incentivos a los gestores: motivos de eficiencia y estratégicos. Incentivos a los trabajadores: negociación del salario. Incentivos de los gobiernos a privatizar las empresas públicas. Incentivos para proteger el medio ambiente. La Economía de los Costes de Transacción

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In questo elaborato si vuole introdurre la teoria dei giochi da un punto di vista matematico attraverso la trattazione di alcuni argomenti di base: i giochi in forma estesa e a somma zero, l'equilibrio di Nash e i giochi cooperativi.

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Nella tesi inizialmente ho introdotto qualche nozione principale della teoria dei giochi; in seguito ho analizzato e approfondito l'equilibrio di Nash attraverso degli esempi come il dilemma del prigioniero. Ho studiato qualche tipologia di gioco come l'induzione a ritroso e infine nell'ultimo capitolo ho inserito tre esempi che possono essere studiati e affrontati con l'equilibrio di Nash.

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En este documento se desarrolla uno de los principales conceptos de la teoría de juegos, a saber, el equilibrio de Nash. En la primera parte, se presenta una definición formal de lo que es el equilibrio de Nash además del procedimiento que debe seguirse para llegar a este. Por último, se desarrollan ejemplos y se proponen ejercicios prácticos que permiten aterrizar los conceptos que se trabajan a lo largo de las notas. Este documento está dirigido principalmente a estudiantes de pregrado de economía, empero por la sencillez del lenguaje, puede ser de utilidad para cualquier estudiante o profesional interesado en la teoría de juegos.

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This paper compares the performances of two different optimisation techniques for solving inverse problems; the first one deals with the Hierarchical Asynchronous Parallel Evolutionary Algorithms software (HAPEA) and the second is implemented with a game strategy named Nash-EA. The HAPEA software is based on a hierarchical topology and asynchronous parallel computation. The Nash-EA methodology is introduced as a distributed virtual game and consists of splitting the wing design variables - aerofoil sections - supervised by players optimising their own strategy. The HAPEA and Nash-EA software methodologies are applied to a single objective aerodynamic ONERA M6 wing reconstruction. Numerical results from the two approaches are compared in terms of the quality of model and computational expense and demonstrate the superiority of the distributed Nash-EA methodology in a parallel environment for a similar design quality.

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In this paper, the optimal design of an active flow control device; Shock Control Bump (SCB) on suction and pressure sides of transonic aerofoil to reduce transonic total drag is investigated. Two optimisation test cases are conducted using different advanced Evolutionary Algorithms (EAs); the first optimiser is the Hierarchical Asynchronous Parallel Evolutionary Algorithm (HAPMOEA) based on canonical Evolutionary Strategies (ES). The second optimiser is the HAPMOEA is hybridised with one of well-known Game Strategies; Nash-Game. Numerical results show that SCB significantly reduces the drag by 30% when compared to the baseline design. In addition, the use of a Nash-Game strategy as a pre-conditioner of global control saves computational cost up to 90% when compared to the first optimiser HAPMOEA.

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Synopsis and review of the Australian crime film The Square (Nash Edgerton, 2009). Includes cast and credits. The Square is the feature film debut of director Nash Edgerton, well-known in Australian film circles not only for his award-winning music videos and short films Deadline (first prize winner at Tropfest in 1997) and Spider, but also for his work as an actor, editor, producer, writer and stuntman on countless Australian films and television programs. The film was co-written by Edgerton’s regular partner and brother Joel, who also plays the arsonist Billy. Joel is familiar to Australian and international audiences for his television work in The Secret Life of Us as well as numerous film roles...

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Page 57 of the "American Jewish Cavalcade" scrapbook of Leo Baeck in New York found in ROS 10 Folder 3

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Mobile applications are being increasingly deployed on a massive scale in various mobile sensor grid database systems. With limited resources from the mobile devices, how to process the huge number of queries from mobile users with distributed sensor grid databases becomes a critical problem for such mobile systems. While the fundamental semantic cache technique has been investigated for query optimization in sensor grid database systems, the problem is still difficult due to the fact that more realistic multi-dimensional constraints have not been considered in existing methods. To solve the problem, a new semantic cache scheme is presented in this paper for location-dependent data queries in distributed sensor grid database systems. It considers multi-dimensional constraints or factors in a unified cost model architecture, determines the parameters of the cost model in the scheme by using the concept of Nash equilibrium from game theory, and makes semantic cache decisions from the established cost model. The scenarios of three factors of semantic, time and locations are investigated as special cases, which improve existing methods. Experiments are conducted to demonstrate the semantic cache scheme presented in this paper for distributed sensor grid database systems.

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A generalization of Nash-Williams′ lemma is proved for the Structure of m-uniform null (m − k)-designs. It is then applied to various graph reconstruction problems. A short combinatorial proof of the edge reconstructibility of digraphs having regular underlying undirected graphs (e.g., tournaments) is given. A type of Nash-Williams′ lemma is conjectured for the vertex reconstruction problem.

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This paper considers a multi-person discrete game with random payoffs. The distribution of the random payoff is unknown to the players and further none of the players know the strategies or the actual moves of other players. A class of absolutely expedient learning algorithms for the game based on a decentralised team of Learning Automata is presented. These algorithms correspond, in some sense, to rational behaviour on the part of the players. All stable stationary points of the algorithm are shown to be Nash equilibria for the game. It is also shown that under some additional constraints on the game, the team will always converge to a Nash equilibrium.

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Bid optimization is now becoming quite popular in sponsored search auctions on the Web. Given a keyword and the maximum willingness to pay of each advertiser interested in the keyword, the bid optimizer generates a profile of bids for the advertisers with the objective of maximizing customer retention without compromising the revenue of the search engine. In this paper, we present a bid optimization algorithm that is based on a Nash bargaining model where the first player is the search engine and the second player is a virtual agent representing all the bidders. We make the realistic assumption that each bidder specifies a maximum willingness to pay values and a discrete, finite set of bid values. We show that the Nash bargaining solution for this problem always lies on a certain edge of the convex hull such that one end point of the edge is the vector of maximum willingness to pay of all the bidders. We show that the other endpoint of this edge can be computed as a solution of a linear programming problem. We also show how the solution can be transformed to a bid profile of the advertisers.