We consider a tournament among four equally strong semifinalists. The players have to decide how much stamina to use in the semifinals, provided that the rest is available in the final and the third-place playoff. We investigate optimal strategies for allocating stamina to the successive matches when players' prizes (payoffs) are given according to the tournament results. From the basic assumption that the probability to win a match follows a nondecreasing function of stamina difference, we present symmetric Nash equilibria for general payoff structures. We find three different phases of the Nash equilibria in the payoff space. First, when the champion wins a much bigger payoff than the others, any pure strategy can constitute a Nash equilibrium as long as all four players adopt it in common. Second, when the first two places are much more valuable than the other two, the only Nash equilibrium is such that everyone uses a pure strategy investing all stamina in the semifinal. Third, when the payoff for last place is much smaller than the others, a Nash equilibrium is formed when every player adopts a mixed strategy of using all or none of its stamina in the semifinals. In a limiting case that only last place pays the penalty, this mixed-strategy profile can be proved to be a unique symmetric Nash equilibrium, at least when the winning probability follows a Heaviside step function. Moreover, by using this Heaviside step function, we study the tournament by using evolutionary replicator dynamics to obtain analytic solutions, which reproduces the corresponding Nash equilibria on the population level and gives information on dynamic aspects.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1103/PhysRevE.91.042144 | DOI Listing |
Sensors (Basel)
December 2024
Mechanical and Mechatronics Engineering Department, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada.
This paper addresses two challenges in AV motion planning: adherence to right-of-way and handling uncertainties, using two game-theoretic frameworks, namely Stackelberg and Nash Bayesian (Bayesian). By modeling the interactions between road users as a hierarchical relationship, the proposed approach enables the AV to strategically optimize its trajectory while considering the actions and priorities of other road users. Additionally, the Bayesian equilibrium aspect of the framework incorporates probabilistic beliefs and updates them based on sensor measurements, allowing the AV to make informed decisions in the presence of uncertainty in the sensory system.
View Article and Find Full Text PDFEntropy (Basel)
December 2024
School of Modern Posts, Xi'an University of Posts and Telecommunications, Xi'an 710061, China.
To investigate the dynamic complexity of chain-to-chain output decisions in a closed-loop supply chain system of cross-border e-commerce (CBEC), this study decomposes the system into four product-market (PM) chains, based on the e-commerce platform's information-sharing strategy and the manufacturer's selected logistics mode (direct mail or bonded warehouse). By combining game theory with complex systems theory, discrete dynamic models for output competition among PM chains under four scenarios are constructed. The Nash equilibrium solution and stability conditions of the models are derived according to the principles of nonlinear dynamics.
View Article and Find Full Text PDFPLoS One
January 2025
School of Mathematics & Statistic, Changchun University of Technology, Changchun, China.
Against the backdrop of an aging population, community pension initiatives are gaining traction, permeating societal landscapes. This study delves into the equilibrium strategy within the context of a defined benefit pension plan, employing a differential game framework with a community pension model. Hence, the model entails the company's controls over investment rates in funds, juxtaposed with employees' inclination towards a greater proportion of community pension allocation in said funds.
View Article and Find Full Text PDFISA Trans
December 2024
Department of Control Science and Engineering, Tongji University, Shanghai, 201804, China; National Key Laboratory of Autonomous Intelligent Unmanned Systems, Shanghai Research Institute for Intelligent Autonomous Systems, and Frontiers Science Center for Intelligent Autonomous Systems, Ministry of Education, Tongji University, Shanghai 201210, China. Electronic address:
This work investigates a game-theoretic path planning algorithm with online objective function parameter estimation for a multiplayer intrusion-defense game, where the defenders aim to prevent intruders from entering the protected area. At first, an intruder is assigned to each defender to perform a one-to-one interception by solving an integer optimization problem. Then, the intrusion-defense game is formulated in a receding horizon manner by designing the objective function and constraints for the defenders and intruders, respectively.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Department of Civil, Construction and Environmental Engineering, North Dakota State University, ND, United States.
The negative impacts of large hydroelectric reservoirs on downstream ecosystems have attracted worldwide attention. Few attempts have been made to dynamically predict ecological benefits and rationally negotiation in the reservoir-river-lake (RRL) system. This study addresses these gaps by developing an integrated framework with machine learning and game theory to balanced hydropower and ecological benefits.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!