Two-person zero-sum games.
COMPUTING EQUILIBRIA FOR TWO-PERSON GAMES
... Selten (1988, pp. 226, 237ff) defines sequence form strategy spaces and payoffs to exploit their linearity, but not for computational purposes. Koller and Megiddo (1992) describe the first polynomial-time algorithm for ...
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A Linear Interactive Solution Concept for Fuzzy Multiobjective Games
... multiobjective two-person zero-sum games with fuzzy payoffs and fuzzy ...multiobjective games and fuzzy games. Most of the studies on multiobjective games are on ...
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Characterization of Nash Equilibrium Strategy for Heptagonal Fuzzy Games
... fuzzy games into fuzzy optimization ...matrix games. In 2011, Cunlin and Zhang Qiang [4] investigated two-person zero-sum games in the symmetric triangular fuzzy ...of ...
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A condition for determinacy of optimal strategies in zero sum convex polynomial games
... Two-person zero-sum games are widely studied. Those games represent strategical situations where the income of an agent equals the looses of the ...
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Sustainable Assessment of Construction Site by Applying Game The
... discrete games, which have a finite number of players, movements, events, outcomes, ...the two- person zero-sum games with a practical ...
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Infinite Horizon LQ Zero Sum Stochastic Differential Games with Markovian Jumps
... continuous-time two person zero-sum stochastic differential games characterized by linear Itô’s differential equation with state-dependent noise and Markovian parameter ...
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A New Tactic to Solve the Two Person Zero Sum Game Without Saddle Point
... There are some games for which no saddle point exists. In such cases both the players must determine an optimal combination of strategies to find a saddle (equilibrium) point. The optimal strategy combination for ...
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Lignite price negotiation between opencast mine and power plant as a two stage, two person, cooperative, non zero sum game
... a two-person, positive-sum games the conflict of group rationality (maximisa- tion of joint profit) with the individual one (maxi- misation of own profit) can ...
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OPTIMIZE THE POWER CONTROL AND NETWORK LIFETIME USING ZERO - SUM GAME THEORY FOR WIRELESS SENSOR NETWORKS
... A wireless sensor network is one of the most attractive research fields in the communication networks. This will creates a great popularity regarding their potential use in a wide variety of applications like monitoring ...
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A Class of Two Person Zero Sum Matrix Games with Rough Payoffs
... is two and rough payoffs which one player receives are equal to rough payoffs which the other player ...defined two kinds of concepts of maximin equilibrium strategies and investigate their ...about ...
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International Journal of Scientific Research and Reviews A New Tactic to Solve the Two Person Zero Sum Game Without Saddle Point
... interact. Games in the everyday sense “A competitive activity in which players contend with each other according to a set of ...to games in the everyday ...
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On solving two-person zero-sum fuzzy matrix games via linear programming approach
... In this paper, a two-person zero-sum matrix game with L R fuzzy numbers payoff is introduced. Using the fuzzy number comparison introduced by Rouben's method (1991), the fuzzy payoff is ...
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An approach for solving two- person zero- sum matrix games in neutrosophic environment
... develop two-person zero- sum matrix games in a single valued neutrosophic ...Finally, two examples are given to illustrate the practically and the efficiency of the ...
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Vehicle Routing Problem in Competitive Environment: Two-Person Nonzero Sum Game Approach
... In zero sum games there is always A+B=0 ...nonzero games there is ...not zero-sum. Specifically, all trade is by definition positive sum, because when two parties ...
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A regularization method for treating zero points of the sum of two monotone operators
... treating zero points of the sum of an inverse-strongly monotone and a maximal monotone ...viscosity zero points under mild re- strictions imposed on the control ...for zero points of the ...
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A two-player zero-sum electromagnetic differential game with uncertainty
... and angle in the interrogating signals. A more realistic dynamic modeling is considered in [3] by introducing time dynamics into the problem,wherein the evader is allowed to make dynamic changes to his strategies in ...
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Beyond Local Nash Equilibria for Adversarial Networks
... in two ways: (1) Representation: intuitively, a mixture of k neu- ral networks could better represent a complex distribution than a single neural network of the same size, and would be roughly on par with a single ...
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Best Response Analysis in Two Person Quantum Games
... This observation motivates the quest for a higher randomization apparatus: quantum superposition followed by quantum measurement. More specifically, let us assume that H is a finite-dimensional complex vector space, and ...
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The Mechanics of n-Player Differentiable Games
... Modern deep learning treats differentiable modules like plug-and-play lego blocks. For this to work, at the very least, we need to know that gradient descent will find local minima. Unfortunately, gradient descent does ...
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GANGs: Generative Adversarial Network Games
... We introduced GANGs—Generative Adversarial Network Games—a novel framework for representing adversarial generative models by formulating them as finite zero-sum games. The framework provides ...
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