El control coalicional en el marco de la teoría de juegos cooperativos

Muros, Francisco Javier

doi:10.4995/riai.2020.13456

Cited by 4 publications

(3 citation statements)

References 111 publications

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“…Subindex Red (0,0), (0,1), (0,2), (0,3), (0,4), (0,5), (0,6), (1,0), (2,0), (3,0), (4,0), (5,0) Blue (5,1), (5,2), (5,3), (5,4), (5,5), (5,6), (5,7), (0,7), (1,7), (2,7), (3,7), (4,7) Starting from the scenario shown in figure 11, the next step is the simulation of the constraint moves set out in the playing rules (see Figure 11). To transfer the game interface to a graphical user interface (GUI) environment using the libraries provided by the programming language, 'x' and 'y' are represented by red and blue pieces, respectively.…”

Section: Token Colourmentioning

confidence: 99%

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Linja: A Mobile Application Based on Minimax Strategy and Game Theory

et al. 2022

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This article presents an application of Minimax strategy and game theory to implement the Linja mobile game. This game theory strategy applies collaborative learning to determine the winner of a game between two opponents, thus determining the optimal move in complex environments. In the development of the collaborative game, different game learning scenarios are proposed where competition between a player and the machine, and competitions against other players, intervene. In the learning process, moves are proposed that allow the maximum gain and the minimum loss among the competitors. In this case, the methodological approach was carried out towards the move that allows maximizing the profit and minimizing the loss, based on the application of the Mini/Max algorithm in search of determining the optimal solution of the game. The process is obtained from the adaptation of mathematical models for the development of games, using specialized tools that support a multi-paradigm programming language working together with the tools that the same language provides and that potentially serve as a contribution to the development of the game. In the search for an intelligent and autonomous system. The intelligent system correctly finds the winner of a game, showing the course of the game move by move. The results show that the game developed with the Minimax strategy allows automatic learning in multiuser environments, correctly identifying the winner of a game, generating the most optimal route of the game from move to move.

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Section: Token Colourmentioning

confidence: 99%

“…It is a game theory algorithm used to minimize the maximum expected loss with complete information since each player knows the state of his opponent [3]. According to Muros [4], this algorithm takes care of choosing the best move for the player assuming that his opponent will choose the worst move for the player.…”

Section: Introductionmentioning

confidence: 99%

Linja: A Mobile Application Based on Minimax Strategy and Game Theory

et al. 2022

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“…Our proposal leverages cooperative game theory to define a coalitional game where every possible subset of upgraded elements is assessed by a weighted measure of expected performance and economic impact [25][26][27]. In this way, it is possible to evaluate the benefit/cost of upgrading each of the LDs considered using tools such as the Shapley value [28], which allows us to rank the LDs according to their average impact, providing a means to find the best locations to install RCDs, hence reducing the non-supply intervals in a cost-efficient manner.…”

Section: Introductionmentioning

confidence: 99%

Improving supply quality in distribution power networks: A game-theoretic planning approach

Muros

Saracho²,

Maestre

2022

Electric Power Systems Research

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Modular Feedback Control of Networked Systems by Clustering: A Drinking Water Network Case Study

et al. 2021

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This article presents a method based on linear matrix inequalities (LMIs) for designing a modular feedback control law, whose synthesis guarantees the system stability, while switching to different network topologies. Such stability is achieved by means of a common Lyapunov function to all network admissible configurations. Several mechanisms to relieve the computational burden of this methodology in large-scale systems are also presented. To assess its applicability, the modular controller is tested on a real case study, namely the Barcelona drinking water network (DWN), and its performance is compared with that of other control strategies, showing the effectiveness of the proposed approach.

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El control coalicional en el marco de la teoría de juegos cooperativos

Cited by 4 publications

References 111 publications

Linja: A Mobile Application Based on Minimax Strategy and Game Theory

Linja: A Mobile Application Based on Minimax Strategy and Game Theory

Improving supply quality in distribution power networks: A game-theoretic planning approach

Modular Feedback Control of Networked Systems by Clustering: A Drinking Water Network Case Study

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